{"id":20159,"date":"2020-06-25T19:46:34","date_gmt":"2020-06-25T11:46:34","guid":{"rendered":"https:\/\/swarma.org\/?p=20159"},"modified":"2020-06-25T19:46:34","modified_gmt":"2020-06-25T11:46:34","slug":"%e5%bc%a0%e6%b1%9f%ef%bc%9a%e6%80%8e%e6%a0%b7%e6%90%9e%e5%ae%9a%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%e5%8a%a8%e5%8a%9b%e5%ad%a6%e9%87%8d%e6%9e%84%ef%bc%9f%e7%99%be%e7%af%87%e8%b5%84%e6%96%99%e4%b8%80","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20159","title":{"rendered":"\u5f20\u6c5f\uff1a\u600e\u6837\u641e\u5b9a\u590d\u6742\u7cfb\u7edf\u52a8\u529b\u5b66\u91cd\u6784\uff1f\u767e\u7bc7\u8d44\u6599\u4e00\u7ad9\u83b7\u53d6"},"content":{"rendered":"<div class='wxsyncmain'>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\" data-mpa-powered-by=\"yiban.io\"><img class=\"rich_pages\" data-ratio=\"0.5806451612903226\" data-s=\"300,640\"  data-type=\"png\" data-w=\"620\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-3c793ab597c656a5ae1ef4bb011b80a4.png\"  \/><\/section>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\" style=\"white-space: normal;\">\n<section data-mpa-template-id=\"1172402\" data-mpa-color=\"null\" data-mpa-category=\"fav\" mpa-from-tpl=\"t\" style=\"letter-spacing: 0.544px;\">\n<section mpa-from-tpl=\"t\" style=\"margin-left: 1em;color: rgb(105, 13, 3);font-size: 16px;line-height: 1.4;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\"><span style=\"border-color: rgb(105, 13, 3);color: rgb(255, 255, 255);overflow-wrap: break-word !important;\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\"><span mpa-is-content=\"t\" style=\"padding: 0.2em 0.5em;border-color: rgb(105, 13, 3);font-weight: inherit;text-decoration: inherit;border-radius: 0.3em;text-align: center;background-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\u5bfc\u8bed<\/span><\/strong><\/span><\/section>\n<section mpa-from-tpl=\"t\" style=\"margin-top: -0.7em;color: rgb(105, 13, 3);font-size: 1em;border-width: 1px;border-style: solid;border-color: rgb(105, 13, 3);border-radius: 0.4em;overflow-wrap: break-word !important;\">\n<section mpa-from-tpl=\"t\" style=\"padding: 1.4em 1em 1em;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\n<section mpa-from-tpl=\"t\" style=\"font-size: 1em;font-weight: inherit;text-align: inherit;text-decoration: inherit;border-color: rgb(105, 13, 3);overflow-wrap: break-word !important;\">\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 14px;color: rgb(136, 136, 136);\">\u590d\u6742\u7cfb\u7edf\u7684\u5bf9\u8c61\u662f\u5305\u542b\u5f88\u591a\u6784\u6210\u7ec4\u5143\u7684\u7cfb\u7edf\uff0c\u8303\u56f4\u6781\u5e7f\uff0c\u5305\u62ec\u7269\u7406\u7cfb\u7edf\u3001\u751f\u6001\u7cfb\u7edf\u548c\u793e\u4f1a\u7cfb\u7edf\u7b49\u3002\u8fd9\u4e9b\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5404\u5f0f\u590d\u6742\u7cfb\u7edf\u5f80\u5f80\u53ef\u4ee5\u88ab\u62bd\u8c61\u4e3a\u4e00\u7ec4\u5355\u5143\uff0c\u5e76\u4e14\u5b83\u4eec\u6309\u7167\u4e00\u5b9a\u7684\u52a8\u529b\u5b66\u6cd5\u5219\u76f8\u4e92\u4f5c\u7528\u7740\u3002\u90a3\u4e48\u6211\u4eec\u5982\u4f55\u81ea\u52a8\u6784\u5efa\u7cfb\u7edf\u8fd0\u884c\u7684\u6a21\u578b\u5462\uff1f\u8fd9\u662f\u4e00\u79cd\u9006\u5411\u5de5\u7a0b\uff0c\u4e5f\u88ab\u79f0\u4e3a\u7f51\u7edc\u52a8\u529b\u5b66\u91cd\u6784\u95ee\u9898\u3002\u57fa\u4e8e\u8fd9\u4e00\u95ee\u9898\u6211\u4eec\u6574\u7406\u4e86\u8fd9\u4efd\u7ed3\u5408\u591a\u95e8\u57fa\u7840\u8bfe\u7a0b\u3001\u591a\u7bc7\u7ecf\u5178\u8bba\u6587\u7684\u5b66\u4e60\u8def\u5f84\uff0c\u4f9b\u4f60\u53c2\u8003\u3002<\/span><br  \/><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br  \/><\/p>\n<h2 style=\"white-space: normal;\">\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"69\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<section style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"color: rgb(136, 136, 136);\">\u672c\u6587\u9996\u53d1\u4e8e\u96c6\u667a\u6591\u56fe\uff0c\u626b\u7801\u67e5\u770b\u8d44\u6599\u8be6\u60c5\u5217\u8868<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/pattern.swarma.org\/path?id=28&amp;from=wechat<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n<\/h2>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages js_insertlocalimg\" data-ratio=\"1\" data-s=\"300,640\"  data-type=\"png\" data-w=\"260\" style=\"width: 187px;height: 186px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-bb73ac88dd3fa0cf4807e134ab800c4a.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><br  \/><\/section>\n<section style=\"margin-top: 10px;margin-right: 8px;margin-left: 8px;color: inherit;white-space: normal;letter-spacing: 0.54px;border-color: rgb(131, 13, 0);width: 361.39px;height: 5px;text-align: center;background-color: rgb(131, 13, 0);\"><br  \/><\/section>\n<section style=\"margin-right: 3px;margin-left: 3px;padding: 20px;white-space: normal;letter-spacing: 0.54px;box-shadow: rgb(227, 223, 223) 0px 0px 4px;background-color: rgb(254, 254, 254);\">\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: left;\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><span style=\"font-size: 16px;\"><strong>\u76ee\u5f55<\/strong><\/span><\/strong><\/section>\n<section data-style=\"color: inherit; box-sizing: border-box;line-height: 1.75em; text-align: justify;\" style=\"border-color: rgb(131, 13, 0);\">\n<section style=\"margin-right: 8px;margin-left: 8px;color: inherit;letter-spacing: 0.54px;border-color: rgb(131, 13, 0);line-height: 1.75em;\"><br  \/><\/section>\n<p style=\"margin-right: 8px;margin-left: 8px;\"><strong mpa-from-tpl=\"t\" style=\"color: rgb(123, 12, 0);font-size: 14px;border-color: rgb(123, 12, 0);\"><span style=\"color: rgb(0, 0, 0);\"><strong style=\"color: inherit;letter-spacing: 0.54px;\">\u4e00.&nbsp;<\/strong><\/span><\/strong><span style=\"color: rgb(0, 0, 0);font-size: 14px;\"><strong>\u95ee\u9898\u63cf\u8ff0<\/strong><\/span><\/p>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc;\">\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"color: rgb(0, 0, 0);font-size: 14px;\"><strong>\u901a\u7528\u65b9\u6cd5\uff1a<\/strong><\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"font-size: 14px;\"><strong style=\"letter-spacing: 0.54px;color: rgb(0, 0, 0);\"><span style=\"font-family: &quot;Microsoft YaHei&quot;;letter-spacing: 0.54px;text-align: left;\">\u76f8\u5173\u6027\u65b9\u6cd5<\/span><\/strong><\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"font-size: 14px;\"><strong style=\"letter-spacing: 0.54px;color: rgb(0, 0, 0);\"><\/strong><strong style=\"letter-spacing: 0.54px;font-size: 14px;color: rgb(0, 0, 0);\">\u57fa\u4e8e\u4fe1\u606f\u8bba\u7684\u65b9\u6cd5<\/strong><\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;\"><span style=\"font-size: 14px;\"><strong style=\"letter-spacing: 0.54px;font-size: 14px;color: rgb(0, 0, 0);\"><\/strong><strong style=\"letter-spacing: 0.54px;font-size: 14px;color: rgb(0, 0, 0);\">\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\uff08Granger 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14px;\"><strong>\u4e8c\u3001\u7ed3\u675f\u8bed<\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<p><br  \/><\/p>\n<p><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" data-mid=\"t1\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" style=\"min-width: 200px;min-height: 40px;border-right: 2px solid rgb(230, 230, 230);border-bottom: 2px solid rgb(230, 230, 230);padding: 0px 5px 5px 0px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"font-size: 14px;min-width: 180px;min-height: 40px;padding: 0px 15px;border-width: 2px;border-style: solid;border-color: rgb(139, 6, 6);text-align: center;line-height: 40px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"display: inline-block;width: 10px;height: 10px;background-color: rgb(139, 6, 6);opacity: 0.5;transform: rotate(45deg);top: 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15px;\">\u7136\u800c\uff0c\u8fd9\u79cd\u7814\u7a76\u65b9\u6cd5\u5b58\u5728\u7740\u4e00\u4e9b\u5f0a\u7aef\u3002\u9996\u5148\uff0c\u73b0\u5b9e\u4e2d\u7684\u7cfb\u7edf\u4e94\u82b1\u516b\u95e8\u3001\u591a\u79cd\u591a\u6837\uff0c\u5982\u679c\u6240\u6709\u7cfb\u7edf\u90fd\u8981\u9760\u6709\u7ecf\u9a8c\u7684\u79d1\u5b66\u5bb6\u53bb\u5efa\u7acb\u62bd\u8c61\u65b9\u7a0b\u5219\u4e0d\u4ec5\u8d39\u65f6\uff0c\u800c\u4e14\u5f3a\u70c8\u53d7\u9650\u4e8e\u5efa\u6a21\u8005\u7684\u7ecf\u9a8c\uff1b\u5176\u6b21\uff0c\u968f\u7740\u6280\u672f\u7684\u53d1\u5c55\uff0c\u6211\u4eec\u5df2\u7ecf\u79ef\u7d2f\u4e86\u5173\u4e8e\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\u8fd0\u8f6c\u7684\u5927\u91cf\u6570\u636e\uff0c\u7279\u522b\u662f\u7cfb\u7edf\u6240\u4ea7\u751f\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5219\u66f4\u662f\u591a\u89c1\uff0c\u800c\u4f20\u7edf\u7684\u7cfb\u7edf\u5efa\u6a21\u65b9\u6cd5\u5374\u5f88\u96be\u4e0e\u8fd9\u6837\u7684\u5fae\u89c2\u6570\u636e\u76f8\u7ed3\u5408\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u90a3\u4e48\uff0c\u6211\u4eec\u7684\u95ee\u9898\u5c31\u662f\u80fd\u5426\u5f00\u53d1\u4e00\u79cd\u65b9\u6cd5\uff0c\u5b83\u80fd\u591f\u6839\u636e\u7cfb\u7edf\u8fd0\u884c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u6765\u81ea\u52a8\u6784\u5efa\u7cfb\u7edf\u8fd0\u884c\u7684\u6a21\u578b\u5462\uff1f\u8fd9\u662f\u4e00\u79cd\u9006\u5411\u5de5\u7a0b\uff0c\u4e5f\u88ab\u79f0\u4e3a\u7f51\u7edc\u52a8\u529b\u5b66\u91cd\u6784\u95ee\u9898\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u539f\u59cb\u7684\u91cd\u6784\u95ee\u9898\u662f\u8981\u540c\u65f6\u63a8\u65ad\u51fa\u5b8c\u6574\u7684\u52a8\u529b\u5b66\u4ee5\u53ca\u80cc\u540e\u7684\u7f51\u7edc\u7ed3\u6784\u3002\u4f46\u662f\uff0c\u5728\u73b0\u5b9e\u4e2d\uff0c\u8fd9\u79cd\u95ee\u9898\u53c8\u6709\u53ef\u80fd\u51fa\u73b0\u591a\u4e2a\u53d8\u79cd\u3002\u4f8b\u5982\uff0c\u5728\u6709\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u5e76\u4e0d\u9700\u8981\u77e5\u9053\u6574\u4e2a\u7cfb\u7edf\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u6240\u4ee5\uff0c\u80fd\u591f\u7ed9\u51fa\u4e00\u5957\u52a8\u529b\u5b66\u65b9\u7a0b\uff0c\u751a\u81f3\u4e8e\u52a8\u529b\u5b66\u65b9\u7a0b\u7684\u67d0\u79cd\u8fd1\u4f3c\u62df\u5408\u5373\u53ef\uff0c\u8fd9\u5c31\u662f<strong>\u52a8\u529b\u5b66\u91cd\u6784\u95ee\u9898\uff08Dynamics Reconstruction\uff09<\/strong>\uff1b\u6709\u7684\u65f6\u5019\uff0c\u6211\u4eec\u53ea\u9700\u8981\u628a\u6211\u4eec\u611f\u5174\u8da3\u7684\u52a8\u529b\u7cfb\u7edf\u7684\u5438\u5f15\u5b50\u91cd\u6784\u51fa\u6765\u5c31\u597d\u4e86\uff0c\u8fd9\u5c31\u662f<strong>\u5438\u5f15\u5b50\u91cd\u6784\u95ee\u9898\uff08Attractor reconstruction\uff09<\/strong>\uff0c\u6216\u53eb\u505a<strong>\u76f8\u7a7a\u95f4\u91cd\u6784\u95ee\u9898\uff08Phase space reconstruction\uff09<\/strong>\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u76f8\u7a7a\u95f4\u91cd\u6784\uff0c\u53ef\u4ee5\u53c2\u8003\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5438\u5f15\u5b50\u91cd\u6784\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/www.scholarpedia.org\/article\/Attractor_reconstruction<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6216\u8005\u53c2\u8003 wikipedia \u4e0a\u7684 Taken theorem \u8bcd\u6761\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">Taken\u5b9a\u7406\uff1a<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/en.wikipedia.org\/wiki\/Takens%27s_theorem<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u6709\u5173\u4e00\u822c\u7684\u7f51\u7edc\u52a8\u529b\u7cfb\u7edf\u7684\u91cd\u6784\u95ee\u9898\uff0c\u53ef\u53c2\u8003\u8fd9\u672c\u4e2d\u6587\u4e66\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><img loading=\"lazy\" data-croporisrc=\"https:\/\/mmbiz.qpic.cn\/mmbiz_png\/wibWV1DB7tWLUibnv0fRib5haxOTwgRicqCzKn8X2XbADdOWXfcdTHy3G5jeuxR2daTsE4fNAs3twxaJ22osHq8D8A\/640?wx_fmt=png\" data-cropx1=\"34.097421203438394\" data-cropx2=\"314.8997134670487\" data-cropy1=\"0\" data-cropy2=\"350\" data-ratio=\"1.25\"  data-type=\"png\" data-w=\"280\" height=\"350\" style=\"left: 349px;width: 280px;height: 349px;\" width=\"256\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-b004c28c16e94043151e4a75455cb824.png\"  \/><\/section>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u56fe1\uff1a\u6570\u636e\u9a71\u52a8\u5efa\u6a21<\/span><\/strong><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e5f\u53ef\u4ee5\u53c2\u89c1\u7efc\u8ff0\uff1a:<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"121\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/engine.scichina.com\/publisher\/scp\/journal\/SSPMA\/50\/1\/10.1360\/SSPMA2019-0127?slug=abstract<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4566929133858268\" data-s=\"300,640\"  data-type=\"png\" data-w=\"889\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-ec2b5cccfa4054a9a8f483d44155ba33.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1189?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u53e6\u4e00\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u5e76\u4e0d\u9700\u8981\u77e5\u9053\u7cfb\u7edf\u7684\u6f14\u5316\u52a8\u529b\u5b66\uff0c\u800c\u53ea\u8981\u63a8\u65ad\u51fa\u54ea\u4e9b\u8282\u70b9\u5b58\u5728\u7740\u8fde\u8fb9\u5373\u53ef\uff0c\u8fd9\u5c31\u662f\u5178\u578b\u7684<strong>\u7f51\u7edc\u91cd\u6784\u95ee\u9898\uff08Network Reconstruction\uff09<\/strong>\u3002\u8fd8\u6709\u4e00\u79cd\u60c5\u51b5\uff0c\u6211\u4eec\u53ef\u80fd\u5df2\u7ecf\u5177\u5907\u4e00\u90e8\u5206\u7f51\u7edc\u7684\u7ed3\u6784\uff0c\u800c\u8fd8\u6709\u4e00\u90e8\u5206\u7f51\u7edc\u662f\u672a\u77e5\u7684\uff0c\u751a\u81f3\u4e8e\u8fd9\u4e00\u90e8\u5206\u672a\u77e5\u7f51\u7edc\u7684\u8282\u70b9\u65f6\u95f4\u5e8f\u5217\u4fe1\u606f\u4e5f\u662f\u672a\u77e5\u7684\uff0c\u90a3\u4e48\u8fd9\u79cd\u95ee\u9898\u5c31\u79f0\u4e3a<strong>\u7f51\u7edc\u8865\u5168\uff08Network Completion\uff09<\/strong>\u3002\u6709\u7684\u65f6\u5019\uff0c\u6211\u4eec\u660e\u786e\u5730\u77e5\u9053\u6211\u4eec\u7684\u7f51\u7edc\u6216\u8005\u52a8\u529b\u5b66\u662f\u5c5e\u4e8e\u51e0\u7c7b\u4e4b\u4e2d\u7684\u4e00\u7c7b\uff0c\u90a3\u4e48\u6839\u636e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u63a8\u6d4b\u51fa\u5230\u5e95\u5c5e\u4e8e\u54ea\u4e00\u79cd\u7c7b\u522b\uff0c\u8fd9\u79cd\u95ee\u9898\u53eb\u505a<strong>\u7cfb\u7edf\u8fa8\u8bc6\uff08System Identification\uff09<\/strong>\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u7f51\u7edc\u8865\u5168\uff0c\u8fd9\u662f\u4e00\u7bc7\u597d\u6587\u7ae0\uff1a<br  \/><\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"161\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">The Network Completion Problem: Inferring Missing Nodes and Edges in Networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/digital.library.unt.edu\/ark:\/67531\/metadc837635\/m2\/1\/high_res_d\/1035599.pdf<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u4e00\u822c\u7684\u7cfb\u7edf\u4e2d\uff0c\u566a\u97f3\u968f\u5904\u53ef\u89c1\uff0c\u56e0\u6b64\u968f\u673a\u6027\u4e0d\u53ef\u907f\u514d\u3002\u751a\u81f3\u5728\u4e00\u4e9b\u6781\u7aef\u7684\u60c5\u51b5\u4e0b\uff0c\u7cfb\u7edf\u672c\u8eab\u5c31\u662f\u4e00\u7ec4\u76f8\u4e92\u8026\u5408\u7684\u968f\u673a\u53d8\u91cf\uff0c\u8fd9\u4e9b\u968f\u673a\u53d8\u91cf\u672c\u8eab\u5e76\u4e0d\u4e00\u5b9a\u9075\u5faa\u56fa\u5b9a\u7684\u7cfb\u7edf\u52a8\u529b\u5b66\uff0c\u800c\u5b83\u4eec\u7684\u8026\u5408\u548c\u76f8\u4e92\u4f5c\u7528\u4ec5\u4ec5\u4f53\u73b0\u4e3a\u4e00\u4e2a\u8054\u5408\u6982\u7387\u5206\u5e03\uff0c\u800c\u6211\u4eec\u5e0c\u671b\u6839\u636e\u7cfb\u7edf\u7684\u8fd0\u884c\u8868\u73b0\uff08\u5f80\u5f80\u4e5f\u4f53\u73b0\u4e3a\u65f6\u95f4\u5e8f\u5217\uff09\uff0c\u4ece\u800c\u5229\u7528\u7edf\u8ba1\u3001\u8d1d\u53f6\u65af\u63a8\u65ad\uff08Bayesian Inference\uff09\u3001\u6982\u7387\u56fe\u6a21\u578b\uff08Probabilistic Graphical Models\uff09\u7b49\u624b\u6bb5\u5c06\u8fd9\u4e9b\u53d8\u91cf\u7684\u76f8\u4e92\u4f5c\u7528\u7ed3\u6784\u7ed9\u63a8\u65ad\u51fa\u6765\uff0c\u90a3\u4e48\u8fd9\u79cd\u95ee\u9898\u5c31\u53eb\u505a<strong>\u7f51\u7edc\u63a8\u65ad\uff08Network Inference\uff09<\/strong>\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u6982\u7387\u56fe\u6a21\u578b\uff0c\u53ef\u53c2\u8003\u8fd9\u672c\u4e66\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"1.1261261261261262\"  data-type=\"png\" data-w=\"444\" style=\"left: 349px;width: 300px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-4f3f04e9629fb13b042fee7c67fabd10.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe2\uff1a\u6982\u7387\u56fe\u6a21\u578b<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6982\u7387\u56fe\u6a21\u578b\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.amazon.com\/Probabilistic-Graphical-Models-Principles-Computation\/dp\/0262013193<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c\u4e0e\u6b64\u76f8\u5173\u7684\u53e6\u4e00\u4e2a\u540d\u8bcd\u5c31\u53eb<strong>\u56e0\u679c\u63a8\u65ad\uff08Causal Inference\uff09<\/strong>\u3002\u5728\u6982\u7387\u56fe\u6a21\u578b\u4e2d\uff0c\u4e00\u6761\u6709\u5411\uff08\u5728\u8d1d\u53f6\u65af\u7f51\u4e0a\u9762\uff09\u6216\u65e0\u5411\uff08\u5728\u9a6c\u5c14\u53ef\u592b\u7f51\u4e0a\u9762\uff09\u7684\u8fde\u8fb9\u8868\u793a\u7684\u662f\u88ab\u8fde\u63a5\u7684\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u5b58\u5728\u7740\u76f4\u63a5\u8054\u7cfb\u3002\u800c\u6240\u8c13\u7684\u56e0\u679c\u5173\u7cfb\u9996\u5148\u5fc5\u987b\u662f\u6982\u7387\u56fe\u4e00\u6761\u666e\u901a\u7684\u6709\u5411\u8fde\u8fb9\uff0c\u5176\u6b21\uff0c\u8fd9\u6761\u8fde\u8fb9\u8fd8\u9700\u8981\u6ee1\u8db3\u8fdb\u4e00\u6b65\u7684\u8981\u6c42\uff0c\u5373\u5982\u679c\u5c06\u8d77\u70b9\u8282\u70b9\u7684\u72b6\u6001\u66f4\u6362\uff08\u5373\u53cd\u4e8b\u5b9e\uff09\uff0c\u4f1a\u5bf9\u7ec8\u6b62\u8282\u70b9\u9020\u6210\u663e\u8457\u5f71\u54cd\uff08\u6982\u7387\u503c\u6539\u53d8\uff09\u3002\u5982\u4f55\u5728\u6982\u7387\u56fe\u7684\u7406\u8bba\u6846\u67b6\u4e0b\u6839\u636e\u6570\u636e\u6765\u63a8\u65ad\u51fa\u56e0\u679c\u8fde\u8fb9\u5219\u88ab\u79f0\u4e3a<strong>\u56e0\u679c\u63a8\u65ad<\/strong>\uff0c\u8fd9\u5728\u7edf\u8ba1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u5b66\u79d1\u4e2d\u90fd\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u4efb\u52a1\u3002\u5982\u679c\u6211\u4eec\u5c06\u4e00\u4e2a\u7f51\u7edc\u52a8\u529b\u5b66\u4e0a\u7684\u8282\u70b9\u770b\u4f5c\u662f\u968f\u673a\u53d8\u91cf\uff0c\u52a8\u529b\u5b66\u89c4\u5219\u5219\u770b\u4f5c\u662f\u6761\u4ef6\u6982\u7387\u6216\u8054\u5408\u6982\u7387\u5206\u5e03\uff0c\u90a3\u4e48\u52a8\u529b\u5b66\u7f51\u7edc\u4e0a\u7684\u8fde\u8fb9\u5c31\u662f\u4e00\u79cd\u56e0\u679c\u8054\u7cfb\u7684\u8fde\u8fb9\u3002\u8fd9\u6837\u8bf4\uff0c\u7f51\u7edc\u91cd\u6784\u5176\u5b9e\u5c31\u662f\u5728\u505a\u56e0\u679c\u63a8\u65ad\uff0c\u8fd9\u4e8c\u8005\u5e76\u65e0\u672c\u8d28\u533a\u522b\u3002\u4f46\u662f\uff0c\u5bf9\u4e8e\u66f4\u4e00\u822c\u7684\u968f\u673a\u53d8\u91cf\uff08\u4e0d\u4e00\u5b9a\u5b58\u5728\u7740\u52a8\u529b\u5b66\u8054\u7cfb\uff09\uff0c\u5219\u56e0\u679c\u8054\u7cfb\u5219\u5fc5\u987b\u501f\u52a9\u53cd\u4e8b\u5b9e\u624d\u80fd\u523b\u753b\u6e05\u695a\uff0c\u4ece\u8fd9\u4e2a\u610f\u4e49\u4e0a\u6765\u8bf4\uff0c\u56e0\u679c\u63a8\u65ad\u53c8\u4f1a\u6bd4\u7f51\u7edc\u91cd\u6784\u5177\u6709\u66f4\u591a\u7684\u5185\u6db5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u56e0\u679c\u63a8\u65ad\uff0c\u53ef\u53c2\u8003 Judea Pearl \u7684\u4e24\u672c\u4e66\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"1.549689440993789\"  data-type=\"png\" data-w=\"322\" style=\"left: 349px;width: 253px;height: 393px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-db079fef38466ad40be9e5d561fe7d4c.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe3\uff1a\u4e3a\u4ec0\u4e48<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e3a\u4ec0\u4e48\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.amazon.com\/-\/zh\/dp\/046509760X\/ref=sr_1_3?__mk_zh_CN=%E4%BA%9A%E9%A9%AC%E9%80%8A%E7%BD%91%E7%AB%99&amp;keywords=why&amp;qid=1582185453&amp;s=books&amp;sr=1-3<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76f8\u5173\u9605\u8bfb\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247500020&amp;idx=1&amp;sn=7cef5358569c9d9a2983a3b65ff7d331&amp;chksm=e8979a79dfe0136fe46239c480ed103924b01e09cfe4c764ca6219d075a4638dcb1c2be408e9&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u56e0\u679c\u4e4b\u7bad\u6307\u5411\u4f55\u65b9\uff1f| \u56fe\u7075\u5956\u5f97\u4e3b\u73c0\u5c14\u7684\u300a\u4e3a\u4ec0\u4e48\u300b<\/a><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u4e00\u672c\u662f\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"1.4463768115942028\"  data-type=\"png\" data-w=\"345\" style=\"left: 349px;width: 300px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-f62bb3d592735ea578bb7428c97e85f7.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe4\uff1a\u56e0\u679c<\/span><\/strong><\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Causality\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.amazon.com\/-\/zh\/dp\/052189560X\/ref=sr_1_1?__mk_zh_CN=%E4%BA%9A%E9%A9%AC%E9%80%8A%E7%BD%91%E7%AB%99&amp;keywords=causality&amp;qid=1582185500&amp;s=books&amp;sr=1-1<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u7684\u65f6\u5019\uff0c\u5b83\u4eec\u4e5f\u90fd\u53ef\u4ee5\u7edf\u79f0\u4e3a<strong>\u7f51\u7edc\u63a8\u65ad<\/strong>\u3002\u56e0\u4e3a\uff0c\u6240\u8c13\u7684\u63a8\u65ad\u5c31\u662f\u6307\u6839\u636e\u4e00\u90e8\u5206\u5df2\u77e5\u4fe1\u606f\uff0c\u6765\u63a8\u6d4b\u672a\u77e5\u4fe1\u606f\uff0c\u6240\u4ee5\uff0c\u7f51\u7edc\u91cd\u6784\u4e0e\u7f51\u7edc\u63a8\u65ad\u5e76\u6ca1\u6709\u592a\u5927\u7684\u533a\u522b\u3002<\/span><\/p>\n<h1 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br mpa-from-tpl=\"t\"  \/><\/span><\/h1>\n<p><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" data-mid=\"t1\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" style=\"min-width: 200px;min-height: 40px;border-right: 2px solid rgb(230, 230, 230);border-bottom: 2px solid rgb(230, 230, 230);padding: 0px 5px 5px 0px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"font-size: 14px;min-width: 180px;min-height: 40px;padding: 0px 15px;border-width: 2px;border-style: solid;border-color: rgb(139, 6, 6);text-align: center;line-height: 40px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"display: inline-block;width: 10px;height: 10px;background-color: rgb(139, 6, 6);opacity: 0.5;transform: rotate(45deg);top: -1px;left: 0px;margin-right: 15px;\" data-mid=\"\" data-contenteditable=\"false\" mpa-from-tpl=\"t\"><br  \/><\/section>\n<section data-preserve-color=\"t\" style=\"display: inline-block;color: rgb(79, 79, 79);line-height: 30px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" mpa-is-content=\"t\" style=\"border-color: rgb(139, 6, 6);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\"><span style=\"border-color: rgb(139, 6, 6);color: rgb(123, 12, 0);font-size: 16px;\" mpa-is-content=\"t\">\u65b9\u6cd5<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<h1 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/h1>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5c3d\u7ba1\u6309\u7167\u4e0a\u8ff0\u7684\u5185\u5bb9\u4e0d\u540c\u9886\u57df\u7684\u4eba\u5b9a\u4e49\u4e86\u975e\u5e38\u591a\u4e0d\u540c\u7684\u540d\u8bcd\u6765\u6982\u62ec\u4e00\u4e2a\u7f51\u7edc\u52a8\u529b\u5b66\u7cfb\u7edf\u7684\u91cd\u6784\u95ee\u9898\uff0c\u4f46\u662f\u5176\u5b9e\u5b83\u4eec\u7684\u672c\u8d28\u90fd\u975e\u5e38\u7c7b\u4f3c\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5728\u8bba\u8ff0\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5c06\u4e0d\u518d\u5bf9\u8fd9\u4e9b\u4e0d\u540c\u7684\u95ee\u9898\u4f5c\u533a\u5206\u3002\u90a3\u4e48\uff0c\u5982\u4f55\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u5462\uff1f\u4eba\u4eec\u63d0\u51fa\u4e86\u5404\u79cd\u5404\u6837\u7684\u65b9\u6cd5\u3002\u76ee\u524d\u6765\u770b\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u57fa\u672c\u53ef\u4ee5\u6982\u62ec\u4e3a\u4e24\u5927\u7c7b\uff0c\u5373\uff081\uff09\u3001\u65e0\u6a21\u578b\uff08Model free\uff09\u7684\u901a\u7528\u7c7b\u65b9\u6cd5\uff1b\uff082\uff09\u57fa\u4e8e\u7279\u5b9a\u6a21\u578b\uff08Model based\uff09\u65b9\u6cd5\u3002\u5176\u4e2d\u901a\u7528\u7c7b\u65b9\u6cd5\u662f\u6307\u6211\u4eec\u53ef\u4ee5\u5c06\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u91cd\u6784\u95ee\u9898\u62bd\u8c61\u6210\u4e00\u5957\u7edf\u4e00\u7684\u6570\u5b66\u6216\u8ba1\u7b97\u6846\u67b6\uff0c\u56e0\u6b64\uff0c\u6211\u4eec\u4fbf\u53ef\u4ee5\u5bf9\u8fd9\u4e00\u7edf\u4e00\u6846\u67b6\u8fdb\u884c\u6570\u5b66\u6216\u8ba1\u7b97\u673a\u6c42\u89e3\uff0c\u800c\u4e0d\u5fc5\u518d\u53bb\u533a\u5206\u5230\u5e95\u8fd9\u4e00\u6846\u67b6\u80cc\u540e\u7684\u5177\u4f53\u9886\u57df\u95ee\u9898\u662f\u4ec0\u4e48\u3002\u56e0\u6b64\uff0c\u8fd9\u91cc\u7684\u7edf\u4e00\u6846\u67b6\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u91cd\u6784\uff0c\u4e5f\u53ef\u4ee5\u89e3\u51b3\u795e\u7ecf\u7f51\u7edc\u91cd\u6784\u7b49\u95ee\u9898\u7684\u3002\u800c\u7b2c\u4e8c\u7c7b\u7279\u5b9a\u65b9\u6cd5\u5219\u4e0e\u5176\u76f8\u53cd\uff0c\u5b83\u5f80\u5f80\u9488\u5bf9\u4e00\u7c7b\u7279\u5b9a\u95ee\u9898\uff0c\u4f8b\u5982\u7ed9\u5b9a\u7f51\u7edc\u4e0a\u7684\u4f20\u64ad\u52a8\u529b\u5b66\u6a21\u578b\u4e3a SIR \u6a21\u578b\uff0c\u7136\u540e\u5728\u8fd9\u4e00\u7279\u5b9a\u7684\u6a21\u578b\u4e0a\u6765\u53bb\u505a\u7f51\u7edc\u7ed3\u6784\u7684\u91cd\u6784\u6216\u63a8\u65ad\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c31\u5206\u8fd9\u4e24\u4e2a\u7c7b\u522b\u6765\u5bf9\u6587\u732e\u505a\u7efc\u8ff0\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<p style=\"margin-right: 8px;margin-left: 8px;clear: both;min-height: 1em;color: rgb(0, 0, 0);font-size: medium;\"><br mpa-from-tpl=\"t\"  \/><\/p>\n<section data-mid=\"t4\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"clear: both;min-height: 1em;border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u901a\u7528\u65b9\u6cd5<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br mpa-from-tpl=\"t\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76ee\u524d\uff0c\u4eba\u4eec\u5f00\u53d1\u51fa\u7684\u901a\u7528\u65b9\u6cd5\u4e5f\u6709\u5f88\u591a\uff0c\u4f46\u662f\u5b83\u4eec\u57fa\u672c\u4e0a\u53ef\u4ee5\u5212\u5206\u4e3a\u5982\u4e0b\u51e0\u7c7b\u3002\u6211\u4eec\u5c06\u5927\u4f53\u6309\u7167\u65f6\u95f4\u987a\u5e8f\u8fdb\u884c\u7f57\u5217\u3001\u7efc\u8ff0\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\">\u76f8\u5173\u6027\u65b9\u6cd5<\/span><\/strong><\/h3>\n<p><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6240\u8c13\u7684\u76f8\u5173\u6027\u65b9\u6cd5\u5c31\u662f\u53ea\u6839\u636e\u76f8\u5173\u6027\u6765\u5ea6\u91cf\u6784\u5efa\u7f51\u7edc\u3002\u4f8b\u5982\uff0c\u6211\u6709\u591a\u4e2a\u65f6\u95f4\u5e8f\u5217\uff0c\u90a3\u4e48\uff0c\u6211\u53ef\u4ee5\u8ba1\u7b97\u4efb\u610f\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u7684\u76f8\u5173\u6027\uff0c\u8fd9\u5c31\u6784\u6210\u4e86\u8fd9\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\uff08\u8282\u70b9\uff09\u4e4b\u95f4\u7684\u4e00\u6761\u8fde\u8fb9\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4f8b\u5982\uff0c\u6bd4\u8f83\u65e9\u5730\u8fd0\u7528\u76f8\u5173\u6027\u5efa\u7acb\u7f51\u7edc\u7684\u6587\u7ae0\u53ef\u4ee5\u53c2\u8003\u8fd9\u7bc7 Science \u7684\u6587\u7ae0\uff0c\u5b83\u8ba8\u8bba\u4e86 3182 \u79cd\u4ece\u4eba\u7c7b\u3001\u679c\u8747\u3001\u8815\u866b\u548c\u9175\u6bcd\u83cc\u4e2d\u901a\u8fc7\u6d4b\u5e8f\u5f97\u5230\u7684\u57fa\u56e0\u8868\u8fbe\u7684\u6570\u636e\u6240\u6784\u5efa\u7684\u76f8\u5173\u6027\u7f51\u7edc\u3002\u5176\u4e2d\uff0c\u6709 22163 \u79cd\u8fd9\u6837\u7684\u5171\u8868\u8fbe\u5173\u7cfb\u662f\u5728\u8fdb\u5316\u79cd\u88ab\u4fdd\u7559\u7684\uff0c\u8fd9\u610f\u5473\u7740\u8fd9\u4e9b\u57fa\u56e0\u5bf9\u4f20\u9012\u4e86\u4e00\u79cd\u9009\u62e9\u7684\u4f18\u52bf\uff0c\u5b83\u4eec\u662f\u5f7c\u6b64\u529f\u80fd\u76f8\u5173\u7684\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"129\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/science.sciencemag.org\/content\/302\/5643\/249<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u7ecf\u6d4e\u548c\u91d1\u878d\u9886\u57df\uff0c\u76f8\u5173\u6027\u4e5f\u662f\u4e00\u79cd\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u4f8b\u5982\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u80a1\u7968\u65f6\u95f4\u5e8f\u5217\u6784\u5efa\u4e86\u4e00\u4e2a\u52a0\u6743\u7f51\u7edc\uff0c\u7136\u540e\u518d\u5229\u7528\u6700\u5c0f\u751f\u6210\u6811\u7684\u65b9\u6cd5\uff0c\u83b7\u5f97\u80a1\u7968\u4e4b\u95f4\u7684\u5c42\u7ea7\u7ed3\u6784\u4fe1\u606f\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"105\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Hierarchical structure in financial markets<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">https:\/\/link.springer.com\/article\/10.1007\/s100510050929<br  \/><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u9664\u6b64\u4e4b\u5916\uff0c\u4e5f\u6709\u5229\u7528\u5e73\u9762\u56fe\u7684\u65b9\u5f0f\u6765\u5c06\u5173\u8054\u77e9\u9635\u8f6c\u6362\u6210\u7f51\u7edc\u7684\u65b9\u5f0f\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"103\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A tool for filtering information in complex systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.pnas.org\/content\/102\/30\/10421<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u5f53\u6211\u4eec\u8003\u8651\u5230\u76f8\u4e92\u5f71\u54cd\u7684\u5ef6\u8fdf\u6548\u5e94\u7684\u65f6\u5019\uff0c\u4e5f\u53ef\u4ee5\u8003\u8651\u7528\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u7684\u5ef6\u8fdf\u76f8\u5173\u6027\u3002\u6bd4\u5982\uff0c\u6211\u4eec\u8003\u8651\u96fe\u973e\u4ece A \u5730\u4f20\u64ad\u5230 B \u5730\uff0c\u90a3\u4e48\u5982\u679c\u4ec5\u4ec5\u8ba1\u7b97 A(t) \u548c B(t) \u8fd9\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\uff0c\u5b83\u4eec\u7684\u76f8\u5173\u6027\u4e5f\u8bb8\u5e76\u4e0d\u5927\u3002\u4f46\u662f\uff0c\u5982\u679c\u6211\u4eec\u8ba1\u7b97\u65f6\u95f4\u5e8f\u5217 A(t-tau) \u4e0e B(t)\uff0c\u90a3\u4e48\u5b83\u4eec\u7684\u76f8\u5173\u6027\u5c31\u4f1a\u5f88\u9ad8\u3002\u8fd9\u662f\u56e0\u4e3a\u96fe\u973e\u7684\u4f20\u64ad\u9700\u8981\u65f6\u95f4\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u7684\u6587\u732e\u5c31\u8ba1\u7b97\u4e86\u8fd9\u79cd\u5ef6\u8fdf\u76f8\u5173\u6027\uff0c\u5b83\u7684\u601d\u8def\u5c31\u662f\u66b4\u529b\u641c\u7d22\u6240\u6709\u53ef\u80fd\u7684 tau \u7684\u53d6\u503c\uff0c\u4ece\u800c\u9009\u62e9\u8ba9\u4e24\u4e2a\u65f6\u95f4\u6700\u5927\u7684\u4e00\u79cd tau\uff0c\u540c\u65f6\u5982\u679c\u76f8\u5173\u6027\u8db3\u591f\u5927\uff0c\u5c31\u7ed9\u51fa\u76f8\u5e94\u7684\u8fde\u8fb9\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"173\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Time-dependent cross-correlations between different stock returns: A directed network of influence<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.66.026125<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u732e\u7ed9\u51fa\u4e86\u5728\u5feb\u901f\u53d8\u5316\u566a\u58f0\u7684\u60c5\u5883\u4e0b\uff0c\u5982\u4f55\u6839\u636e\u65f6\u95f4\u5ef6\u8fdf\u76f8\u5173\u6027\u6765\u91cd\u6784\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"168\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.99.042311<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u4e00\u79cd\u65f6\u95f4\u5bf9\u9f50\u7684\u65b9\u6cd5\u6765\u91cd\u6784\u77ed\u65f6\u95f4\u5e8f\u5217\u4e4b\u4e2d\u7684\u56e0\u679c\u8054\u7cfb\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"151\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Inner Composition Alignment for Inferring Directed Networks from Short Time Series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.107.054101<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;text-align: center;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><img class=\"rich_pages\" data-ratio=\"0.46673706441393875\" data-s=\"300,640\"  data-type=\"png\" data-w=\"947\" style=\"text-align: center;white-space: normal;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-54bef803475f130dc9d0a62a3a865722.png\"  \/><\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;text-align: center;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><strong style=\"color: rgb(136, 136, 136);font-size: 13px;text-align: center;white-space: normal;\">https:\/\/campus.swarma.org\/course\/1601?from=wechat<\/strong><\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;text-align: center;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/section>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u57fa\u4e8e\u4fe1\u606f\u8bba\u7684\u65b9\u6cd5<br  \/><\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;\"><br  \/><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76f8\u6bd4\u8f83\u76f8\u5173\u7cfb\u6570\u7684\u65b9\u6cd5\u6765\u8bf4\uff0c\u5229\u7528\u4fe1\u606f\u8bba\u63d0\u4f9b\u7684\u6307\u6807\u662f\u4e00\u79cd\u66f4\u597d\u7684\u5ea6\u91cf\u76f8\u5173\u6027\u7684\u624b\u6bb5\uff0c\u56e0\u4e3a\u76f8\u5173\u7cfb\u6570\u53ea\u80fd\u53cd\u6620\u4e24\u4e2a\u53d8\u91cf\u662f\u5426\u7ebf\u6027\u76f8\u5173\uff0c\u800c\u8fd9\u4e9b\u4fe1\u606f\u8bba\u6307\u6807\u5219\u80fd\u591f\u5e94\u5bf9\u66f4\u4e00\u822c\u7684\u60c5\u5f62\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6bd4\u5982\uff0c\u5e38\u7528\u7684\u4e00\u79cd\u65b9\u6cd5\u662f\u4e92\u4fe1\u606f\uff08Mutual Information\uff09\uff0c\u5b83\u63d0\u4f9b\u4e86\u76f8\u5173\u6027\u7684\u53e6\u4e00\u79cd\u5ea6\u91cf\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/>\u4e92\u4fe1\u606f\u5b9a\u4e49\u4e3a\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><img data-ratio=\"0.15333333333333332\"  data-type=\"png\" data-w=\"450\" style=\"left: 349px;width: 400px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-6c6d183d69fb8201709cd675db1647b6.png\"  \/><\/section>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u4e92\u4fe1\u606f\u7684\u6570\u5b66\u5b9a\u4e49<\/span><\/strong><\/span><\/section>\n<section style=\"line-height: 1.75em;text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u7528\u4e92\u4fe1\u606f\u7684\u65b9\u6cd5\u5b9a\u4e49\u4e86\u5168\u7403\u6c14\u5019\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"102\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">The backbone of the climate network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/iopscience.iop.org\/article\/10.1209\/0295-5075\/87\/48007<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\u4e00\u4e2a\u5e38\u7528\u4e8e\u65f6\u95f4\u5e8f\u5217\u7684\u65b9\u6cd5\u662f\u4f20\u8f93\u71b5\uff08Transfer Entropy\uff09\uff0c\u5b83\u80fd\u591f\u523b\u753b\u5f15\u5165\u53e6\u4e00\u4e2a\u53d8\u91cf\u5bf9\u9884\u6d4b\u5f53\u524d\u53d8\u91cf\u7684\u8d21\u732e\uff0c\u56e0\u6b64\u5b83\u53ef\u4ee5\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u8861\u91cf\u56e0\u679c\u8054\u7cfb\uff0c\u8fd9\u4e0e\u540e\u9762\u4ecb\u7ecd\u7684\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u65b9\u6cd5\u53ef\u4ee5\u8bf4\u662f\u4e00\u8109\u76f8\u627f\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4f20\u8f93\u71b5\u7684\u5b9a\u4e49\u4e3a\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.053061224489795916\"  data-type=\"png\" data-w=\"490\" style=\"left: 349px;width: 400px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-c70fceae45ae86c79b30414876328625.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u4f20\u8f93\u71b5\u7684\u6570\u5b66\u8868\u8fbe\u5f0f<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5b83\u8fdb\u4e00\u6b65\u53ef\u4ee5\u8f6c\u5316\u4e3a\u6761\u4ef6\u4e92\u4fe1\u606f\uff08conditional mutual information\uff09\u7684\u5f62\u5f0f\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.08552631578947369\"  data-type=\"png\" data-w=\"304\" style=\"left: 349px;width: 300px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-1e669e4bc0231009d8b08cebbfc94b54.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;font-size: 13px;\">\u4f20\u8f93\u71b5\u7684\u6761\u4ef6\u4e92\u4fe1\u606f\u7684\u5f62\u5f0f<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8be5\u8868\u8fbe\u5f0f\u53ef\u4ee5\u8861\u91cf\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u4e5f\u5c31\u662f\u8bf4\u5982\u679c\u6211\u628aX\u7684\u5386\u53f2\u4fe1\u606f\u5f15\u5165\u8fdb\u6765\uff0c\u4f1a\u6bd4\u6211\u53ea\u7528Y\u7684\u5386\u53f2\u4fe1\u606f\u80fd\u66f4\u597d\u5730\u63d0\u4f9b\u5173\u4e8eY\u7684\u672a\u6765\u4fe1\u606f\u3002\u5b9e\u9645\u4e0a\u6211\u4eec\u9a6c\u4e0a\u4f1a\u770b\u5230\uff0c\u8fd9\u79cd\u601d\u60f3\u548c\u540e\u9762\u8bb2\u7684\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u7684\u601d\u60f3\u5f02\u66f2\u540c\u5de5\u3002\u53ef\u4ee5\u8bc1\u660e\uff0c\u5f53\u6211\u4eec\u628a\u4f20\u8f93\u71b5\u5e94\u7528\u5230\u7ebf\u6027\u5411\u91cf\u81ea\u56de\u5f52\u6a21\u578b\u4e0a\u7684\u65f6\u5019\uff0c\u4f20\u8f93\u71b5\u5c31\u53d8\u6210\u4e86\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u7684\u5ea6\u91cf\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u5c06\u4f20\u8f93\u71b5\u7528\u4e8e\u795e\u7ecf\u56de\u8def\u7684\u91cd\u6784\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"169\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Model-Free Reconstruction of Excitatory Neuronal Connectivity from Calcium Imaging Signals<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371\/journal.pcbi.1002653<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4409282700421941\" data-s=\"300,640\"  data-type=\"png\" data-w=\"948\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-d647b7bf07e6c2b53e2bdffee8a7af99.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1399?from=wechat<\/span><\/strong><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\uff08Granger Causality\uff09\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u662f\u6700\u65e9\u63d0\u51fa\u7684\u4e00\u79cd\u8457\u540d\u7684\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\uff0c\u7528\u4e8e\u5224\u65ad\u4e24\u4e2a\u968f\u673a\u53d8\u91cf\u4e4b\u95f4\u662f\u5426\u5b58\u5728\u7740\u56e0\u679c\u7bad\u5934\u3002\u5b83\u7684\u57fa\u672c\u601d\u60f3\u662f\uff0c\u5982\u679c\u6211\u5f15\u5165\u4e86 X \u53d8\u91cf\u5bf9\u9884\u6d4b Y \u53d8\u91cf\u662f\u5426\u53ef\u4ee5\u8fdb\u884c\u6027\u80fd\u63d0\u5347\u3002\u66f4\u5177\u4f53\u7684\uff0c\u5982\u679c\u6211\u4eec\u6839\u636e Y \u81ea\u5df1\u7684\u5386\u53f2\u548c X \u7684\u5386\u53f2\u6570\u636e\u80fd\u591f\u6bd4\u4ec5\u6839\u636e Y \u81ea\u5df1\u7684\u5386\u53f2\u6570\u636e\u66f4\u597d\u5730\u9884\u6d4b Y \u7684\u672a\u6765\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u8bf4X\u662fY\u7684\u683c\u5170\u6770\u56e0\uff0cY \u662f X \u7684\u683c\u5170\u6770\u679c\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u66f4\u4e25\u683c\u7684\u6570\u5b66\u8868\u8fbe\u53ef\u4ee5\u7528\u4e0b\u9762\u7684\u5f0f\u5b50\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.057777777777777775\"  data-type=\"png\" data-w=\"450\" style=\"left: 349px;width: 400px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-3d3a28ef909af59f11fc4e89bd5884d0.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\uff08X\u548cY\u5177\u6709\u56e0\u679c\u5173\u7cfb\u7684\u5b9a\u4e49\u5f0f\uff09<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u662f\u683c\u5170\u6770\u63d0\u51fa\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u7684\u539f\u59cb\u8bba\u6587\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"124\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Investigating Causal Relations by Econometric Models and Cross-spectral Methods<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.jstor.org\/stable\/1912791?seq=1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4502262443438914\" data-s=\"300,640\"  data-type=\"png\" data-w=\"884\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-af5bca9dbd1e044af1887829f42dd97d.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1522?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">wikipedia \u548c scholarpedia \u7ed9\u51fa\u4e86\u5173\u4e8e\u6b64\u65b9\u6cd5\u7684\u5386\u53f2\u3001\u53d1\u5c55\u3001\u5c40\u9650\u7684\u5f88\u597d\u7efc\u8ff0\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c wikipedia \u9875\u9762\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">https:\/\/en.wikipedia.org\/wiki\/Granger_causality<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">scholarpedia \u4e0a\u7684\u4ecb\u7ecd\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/www.scholarpedia.org\/article\/Granger_causality<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5c06\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u65b9\u6cd5\u5e94\u7528\u4e8e\u6c14\u5019\u7cfb\u7edf\u4e2d\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"113\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Inferring causation from time series in Earth system sciences<\/span><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/s41467-019-10105-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.4409282700421941\" data-s=\"300,640\"  data-type=\"png\" data-w=\"948\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-d647b7bf07e6c2b53e2bdffee8a7af99.png\"  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1399?from=wechat<\/span><\/strong><\/span><\/section>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u7efc\u8ff0\u4e86\u6b64\u65b9\u6cd5\u5931\u6548\u7684\u60c5\u5f62\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"114\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A review of the Granger-causality fallacy<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/hrcak.srce.hr\/index.php?show=clanak&amp;id_clanak_jezik=229894<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76ee\u524d\uff0c\u8be5\u65b9\u6cd5\u5df2\u88ab\u5e94\u7528\u4e8e\u5927\u91cf\u7684\u7ecf\u6d4e\u3001\u793e\u4f1a\u3001\u795e\u7ecf\u79d1\u5b66\u9886\u57df\u4e2d\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u5f88\u597d\u5730\u5c55\u793a\u4e86\u683c\u5170\u6770\u56e0\u679c\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u975e\u7ebf\u6027\u7cfb\u7edf\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"137\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Causal and Structural Connectivity of Pulse-Coupled Nonlinear Networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/pdf\/10.1103\/PhysRevLett.111.054102<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5f53\u6211\u4eec\u5229\u7528\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u91cd\u6784\u5438\u5f15\u5b50\u901a\u5e38\u90fd\u662f\u6839\u636e Taken \u5b9a\u7406\uff0c\u53ef\u53c2\u8003\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"101\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Detecting strange attractors in turbulence<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/link.springer.com\/chapter\/10.1007\/BFb0091924<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7528 Taken \u5b9a\u7406\u505a\u91cd\u6784\uff0c\u4e3b\u8981\u7684\u60f3\u6cd5\u5c31\u662f\u5229\u7528\u5df2\u6709\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u6765\u76f4\u63a5\u6784\u6210\u539f\u59cb\u7684\u76f8\u7a7a\u95f4\u4e2d\u7684\u8f68\u8ff9\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u7684\u52a8\u529b\u7cfb\u7edf\u662f\u4e00\u4e2a\u4e09\u7ef4\u7684\u7cfb\u7edf\uff0cd(x,y,z)\/dt=f(x(t),y(t),z(t))\uff0c\u5e76\u5047\u8bbe\u6211\u4eec\u4ec5\u80fd\u591f\u83b7\u5f97\u4e00\u4e2a\u53d8\u91cf\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636ex(1),x(2),&#8230;,x(t),..\u3002\u90a3\u4e48\uff0c\u5229\u7528\u8fd9\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\uff0c\u6211\u4eec\u5c31\u80fd\u591f\u91cd\u6784\u51fa\u539f\u59cb\u7684\u4e09\u7ef4\u52a8\u529b\u5b66\u5728\u76f8\u7a7a\u95f4\u4e2d\u7684\u8f68\u8ff9\u3002\u57fa\u672c\u601d\u60f3\u5c31\u662f\u5229\u7528\u4e00\u4e2a\u4e09\u9636\u5ef6\u8fdf\u7684\u5e8f\u5217\uff0c\u6bd4\u5982 s(t)=(x(t-1),x(t-2),x(t-3)), s(t-1)=(x(t-4),x(t-5),x(t-6)), &#8230;\u3002\u8fd9\u4e2a\u65b0\u5e8f\u5217 s(t) \u5c31\u662f\u4e00\u4e2a\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u7684\u8f68\u8ff9\uff0c\u90a3\u4e48\u5b83\u5728\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u7684\u8f68\u8ff9\u5c06\u4e0e\u539f\u59cb\u7684\u4e09\u7ef4\u52a8\u529b\u5b66\u76f8\u7a7a\u95f4\u4e2d\u7684\u8f68\u8ff9\u540c\u80da\uff08\u62d3\u6251\u7b49\u4ef7\uff09\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5982\u56fe\u5c55\u793a\u4e86\u6d1b\u4f26\u5179\u5438\u5f15\u5b50\u7684\u91cd\u6784\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.8917819365337672\"  data-type=\"png\" data-w=\"1229\" style=\"left: 349px;width: 408px;height: 363px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-5149e0f8cebb8f6d7d80c0de1f13e10e.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe5\uff1a\u6d1b\u4f26\u5179\u5438\u5f15\u5b50\u4ea7\u751f\u7684\u65f6\u95f4\u5e8f\u5217<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img loading=\"lazy\" data-ratio=\"0.75\"  data-type=\"png\" data-w=\"960\" height=\"593\" style=\"left: 349px;width: 500px;\" width=\"960\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-7bcbae58a5998f79d09743a6b0d86730.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe6\uff1a\u5229\u75282\u9636\u5ef6\u8fdf\u7684\u65f6\u95f4\u5e8f\u5217\u91cd\u6784\u6d1b\u4f26\u5179\u5438\u5f15\u5b50<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u8fd9\u4e00\u91cd\u6784\u65b9\u6cd5\u5f88\u597d\u5730\u6982\u62ec\u5728\u4e0b\u9762\u7684\u6587\u7ae0\u4e2d\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"96\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Geometry from a Time Series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/journals.aps.org\/prl\/pdf\/10.1103\/PhysRevLett.45.712<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4610169491525424\" data-s=\"300,640\"  data-type=\"png\" data-w=\"885\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-50509b0165b2fad8c05926fd3f9d9f63.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1379?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u5982\u4f55\u9009\u5b9a\u5ef6\u8fdf\u65f6\u95f4\uff0c\u53ef\u4ee5\u53c2\u8003\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"140\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Proper choice of the time delay for the analysis of chaotic time series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/0375960189901692<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u5982\u4f55\u9009\u62e9\u6700\u597d\u7684\u7ef4\u5ea6\uff0c\u53ef\u89c1\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"73\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Embedology<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/link.springer.com\/article\/10.1007\/BF01053745<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5982\u4f55\u7528\u91cd\u6784\u7684\u5438\u5f15\u5b50\u6765\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u7684\u9884\u6d4b\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"105\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Predicting chaotic time series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.59.845<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.4610169491525424\" data-s=\"300,640\"  data-type=\"png\" data-w=\"885\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-50509b0165b2fad8c05926fd3f9d9f63.png\"  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1379?from=wechat<\/span><\/strong><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u8ba8\u8bba\u4e86\u4e00\u79cd\u5229\u7528\u6df7\u6c8c\u81ea\u540c\u6b65\u6765\u8fdb\u884c\u53c2\u6570\u4f30\u8ba1\u7684\u65b9\u6cd5\uff1a<\/span><br  \/><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"143\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Estimating Model Parameters from Time Series by Autosynchronization<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.76.1232<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>CCM\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6240\u8c13\u7684 CCM \u662f\u6307\u6536\u655b\u4ea4\u53c9\u6620\u5c04\uff08Convergent Cross Mapping\uff09\u65b9\u6cd5\uff0c\u5b83\u6765\u6e90\u4e8e\u76f8\u7a7a\u95f4\u91cd\u6784\u7406\u8bba\u3002\u53ea\u4e0d\u8fc7\uff0cCCM \u7684\u76ee\u6807\u5e76\u975e\u91cd\u6784\u52a8\u529b\u5b66\u6216\u5438\u5f15\u5b50\uff0c\u800c\u662f\u5e0c\u671b\u627e\u5230\u53d8\u91cf\u4e4b\u95f4\u7684\u201cCCM\u56e0\u679c\u8054\u7cfb\u201d\u3002CCM \u65b9\u6cd5\u6307\u51fa\uff0c\u5982\u679c\u4e00\u4e2a\u4e8b\u4ef6 A \u662f B \u7684\u56e0\uff0c\u5e76\u4e0d\u610f\u5473\u7740 A \u4e00\u5b9a\u4f1a\u5728 B \u4e4b\u524d\u53d1\u751f\u3002\u4e00\u4e2a\u8457\u540d\u7684\u4f8b\u5b50\u5c31\u662f A=\u9e21\u6253\u9e23\u548c B=\u592a\u9633\u5347\u8d77\u3002\u663e\u7136\uff0c\u6211\u4eec\u6bcf\u5929\u90fd\u4f1a\u89c2\u6d4b\u5230 A \u4f1a\u5728 B \u53d1\u751f\u524d\u53d1\u751f\uff0c\u90a3\u4e48\uff0c\u6211\u4eec\u53ef\u4ee5\u8bf4 A \u662f B \u7684\u56e0\u5417\uff1f\u663e\u7136\u4e0d\u884c\u3002\u56e0\u4e3a\uff0c\u6211\u4eec\u90fd\u77e5\u9053\uff0c\u592a\u9633\u5347\u8d77\u624d\u662f\u8ba9\u516c\u9e21\u6253\u9e23\u7684\u539f\u56e0\uff0c\u53ea\u4e0d\u8fc7\u7531\u4e8e\u5e38\u5e74\u7684\u5b66\u4e60\u8fdb\u5316\uff0c\u516c\u9e21\u5df2\u7ecf\u5b66\u4f1a\u4e86\u9884\u6d4b\u592a\u9633\u5347\u8d77\u8fd9\u4e00\u4e8b\u4ef6\uff0c\u4e8e\u662f\u516c\u9e21\u53ef\u4ee5\u5728\u592a\u9633\u5347\u8d77\u524d\u6253\u9e23\u3002CCM \u53f7\u79f0\uff0c\u5982\u679c\u7528\u8be5\u65b9\u6cd5\u5206\u6790\u516c\u9e21\u6253\u9e23\u548c\u592a\u9633\u5347\u8d77\u8fd9\u6837\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u5b83\u53ef\u4ee5\u51c6\u786e\u5730\u5224\u522b\u51fa\u6b63\u786e\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5b83\u7684\u6307\u5bfc\u601d\u60f3\u6765\u6e90\u4e8e\u76f8\u7a7a\u95f4\u91cd\u6784\u7684 Taken \u5b9a\u7406\u3002\u6211\u4eec\u77e5\u9053\uff0c\u4e00\u4e2a\u4e24\u53d8\u91cf\u7684\u52a8\u529b\u7cfb\u7edf\u53ef\u4ee5\u5199\u6210 dx\/dt=f(x,y), dy\/dt=g(x,y)\u3002\u5b83\u4eec\u5171\u540c\u6784\u6210\u4e86\u4e00\u4e2a\u52a8\u529b\u5b66\u5438\u5f15\u5b50\u8bb0\u505a M\u3002Taken \u5b9a\u7406\u8bf4\uff0c\u4e00\u4e2a\u5438\u5f15\u5b50\u5728\u4efb\u4f55\u4e00\u4e2a\u5b50\u7a7a\u95f4\u4e2d\u7684\u6295\u5f71\u90fd\u6709\u53ef\u80fd\u91cd\u6784\u51fa\u5438\u5f15\u5b50\u672c\u8eab\u3002\u4e8e\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u4e24\u4e2a\u7279\u6b8a\u7684\u6295\u5f71\uff0c\u4e00\u4e2a\u662f\u5728x\u53d8\u91cf\u7684\u5b50\u7a7a\u95f4\u4e0a\u6295\u5f71\uff0c\u53e6\u4e00\u4e2a\u662f\u5728 y \u53d8\u91cf\u7684\u5b50\u7a7a\u95f4\u4e0a\u3002\u65e2\u7136\uff0c\u8fd9\u4e24\u4e2a\u7a7a\u95f4\u90fd\u662f\u5438\u5f15\u5b50 M \u7684\u6295\u5f71\uff0c\u90a3\u4e48 x \u548c y \u8fd9\u4e24\u4e2a\u5b50\u7a7a\u95f4\u4e2d\u7684\u65f6\u95f4\u5e8f\u5217\u5c31\u5fc5\u7136\u4f1a\u5b58\u5728\u7740\u4e00\u5b9a\u7684\u8054\u7cfb\u3002\u4e0b\u9762\u6211\u4eec\u8003\u8651\u65f6\u95f4\u5ef6\u8fdf\u7684\u65f6\u95f4\u5e8f\u5217\u91cd\u6784\u3002\u5047\u8bbe x \u7684\u65f6\u95f4\u5ef6\u8fdf\u5e8f\u5217\u53ef\u4ee5\u91cd\u6784\u51fa\u4e00\u4e2a\u76f8\u7a7a\u95f4 M_X\uff0cy \u7684\u65f6\u95f4\u5ef6\u8fdf\u5e8f\u5217\u53ef\u4ee5\u91cd\u6784\u51fa\u76f8\u7a7a\u95f4 M_y\uff0c\u90a3\u4e48\u5bf9\u4e8e\u4efb\u610f\u4e00\u4e2a\u65f6\u523b\uff0c\u8fd9\u4e24\u4e2a\u76f8\u7a7a\u95f4\u6d41\u5f62 M_x\uff0cM_y \u4e0a\u7684\u5bf9\u5e94\u70b9\u9644\u8fd1\u7684\u90bb\u57df\u5fc5\u7136\u5b58\u5728\u7740\u5f88\u5f3a\u7684\u76f8\u5173\u6027\uff0c\u56e0\u4e3a\u5b83\u4eec\u90fd\u6765\u81ea M \u4e0a\u7684\u540c\u4e00\u4e2a\u90bb\u57df\u3002\u5982\u4e0b\u56fe\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\"><br  \/><\/span><img data-ratio=\"0.727580372250423\"  data-type=\"png\" data-w=\"1182\" style=\"left: 349px;width: 407px;height: 296px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-893c8e7df4150840f6f5baca2542fafb.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u56fe7\uff1aCCM\u539f\u7406\u8bf4\u660e<\/span><\/strong><\/span><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6b63\u662f\u57fa\u4e8e\u8fd9\u4e00\u6027\u8d28\uff0cCCM \u5c31\u53ef\u4ee5\u901a\u8fc7 M_x \u548c M_y \u90bb\u57df\u7684\u76f8\u5173\u6027\u6765\u8ba1\u7b97\u6b64\u4e8c\u8005\u662f\u5426\u6709\u56e0\u679c\u8054\u7cfb\u3002\u5177\u4f53\u7684\u65b9\u6cd5\u53ef\u4ee5\u53c2\u8003\u8fd9\u7bc7 Science \u6587\u7ae0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"102\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Detecting Causality in Complex Ecosystems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/science.sciencemag.org\/content\/338\/6106\/496<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 15px;\">\u76f8\u5173\u9605\u8bfb\uff1a<\/span><br  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 15px;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247500394&amp;idx=1&amp;sn=06c5c3579b538ff8d960af0db6edbba5&amp;chksm=e89798e7dfe011f1a01f720f6d0bf67486534a51ca23a1912864d7302e1c80eabcdef7df7f34&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">Science\u7ecf\u5178\u8bba\u6587\uff1a\u5982\u4f55\u68c0\u6d4b\u590d\u6742\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\uff1f<\/a><br  \/><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u540e\u7eed\u4e5f\u6709\u4e0d\u5c11\u5de5\u4f5c\u8fdb\u884c\u4e86\u6539\u8fdb\uff0c\u4f8b\u5982\uff0c\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5c31\u7ed9\u51fa\u4e86\u8003\u8651\u5230\u5ef6\u8fdf\u6548\u5e94\u4e4b\u540e\u7684\u56e0\u679c\u8fde\u8fb9\u63a2\u6d4b<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"180\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Detection of time delays and directional interactions based on time series from complex dynamical systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.96.012221<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.46772366930917325\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-eaa689b16af68278e981b9a72286c421.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1383?from=wechat<\/span><\/strong><\/span><br  \/><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e5f\u6709\u5b66\u8005\u6307\u51fa CCM \u539f\u59cb\u65b9\u6cd5\u4e2d\u7684\u5f0a\u7aef\uff0c\u4ee5\u53ca\u4e00\u4e9b\u5931\u8d25\u7684 case\uff0c\u5e76\u63d0\u51fa\u4e86\u6539\u8fdb\u65b9\u6cd5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"128\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Convergent Cross-Mapping and Pairwise Asymmetric Inference<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.90.062903<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.46772366930917325\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-eaa689b16af68278e981b9a72286c421.png\"  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1383?from=wechat<\/span><\/strong><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u7ebf\u6027\u5316\u65b9\u7a0b\u6c42\u89e3<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u4e00\u601d\u8def\u7684\u6838\u5fc3\u5728\u4e8e\u5c06\u4e00\u4e2a\u975e\u7ebf\u6027\u7684\u52a8\u529b\u5b66\u65b9\u7a0b\u7ec4\u8f6c\u5316\u4e3a\u4e00\u4e2a\u7ebf\u6027\u7cfb\u7edf\uff0c\u4ece\u800c\u6765\u8fdb\u884c\u91cd\u6784\u3002\u5177\u4f53\u5730\uff0c\u5047\u8bbe\u7cfb\u7edf\u7684\u975e\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\u4e3a\uff1adx\/dt=f(x(t))+r(t)\uff0c\u5176\u4e2d x \u662f\u591a\u7ef4\u53d8\u91cf\uff0c\u5373\u591a\u4e2a\u8282\u70b9\uff0cA \u662f\u8282\u70b9\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u77e9\u9635\uff0cf\u662f\u975e\u7ebf\u6027\u51fd\u6570\uff0cr(t) \u4e3a\u4e00\u4e2a\u9ad8\u65af\u767d\u566a\u58f0\u8fc7\u7a0b\u3002\u90a3\u4e48\uff0c\u6211\u4eec\u53ef\u4ee5\u5148\u628a\u8fd9\u4e2a\u52a8\u529b\u5b66 f \u505a\u7b80\u5316\uff0c\u5373\u5229\u7528\u6cf0\u52d2\u5c55\u5f00\uff0c\u6216\u8005\u5728\u4efb\u4f55\u4e00\u7ec4\u51fd\u6570\u57fa\u4e0a\u505a\u5c55\u5f00\uff0c\u628a\u52a8\u529b\u7cfb\u7edf\u53d8\u4e3a\u4e00\u4e2a\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\uff0c\u5373 dx\/dt=Ax+r(t) \u8fd9\u6837\u7684\u5f62\u5f0f\uff0c\u5176\u4e2d A \u662f\u5404\u4e2a\u7ebf\u6027\u9879\u7684\u7ea7\u6570\u5c55\u5f00\u7684\u7cfb\u6570\uff0c\u4e5f\u5c31\u662f x \u4e2d\u5404\u4e2a\u53d8\u91cf\u76f8\u4e92\u4f5c\u7528\u7684\u7f51\u7edc\u3002\u4e8e\u662f\uff0c\u6211\u4eec\u7684\u95ee\u9898\u5c31\u662f\uff0c\u5982\u679c\u5047\u8bbe\u8fd9\u4e2a\u7cfb\u7edf\u5c31\u662f\u8fd9\u6837\u4e00\u4e2a\u7ebf\u6027\u7cfb\u7edf\uff0c\u90a3\u4e48\u6211\u4eec\u5982\u4f55\u6839\u636e\u5176\u751f\u6210\u7684\u65f6\u95f4\u5e8f\u5217\u800c\u5c06\u8fd9\u4e2a\u7f51\u7edc A \u7ed9\u91cd\u6784\u51fa\u6765\u5462\uff1f\u7b54\u6848\u5c31\u5728\u4e8e\u53ef\u4ee5\u76f4\u63a5\u6c42\u5f97\u89e3\u6790\u89e3\u3002\u5229\u7528\u767d\u566a\u58f0\u7684\u6027\u8d28\uff0c\u6211\u4eec\u53ef\u4ee5\u6c42\u5404\u4e2a\u4e0d\u540c\u53d8\u91cf\u7684\u65f6\u95f4\u5e8f\u5217\u7684\u76f8\u5173\u6027\uff0c\u4ece\u8fd9\u4e9b\u76f8\u5173\u6027\u5ea6\u91cf\u5c31\u53ef\u4ee5\u663e\u5f0f\u5730\u6c42\u89e3\u51fa A\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u4e00\u65b9\u6cd5\u53ef\u4ee5\u6709\u5f88\u591a\u63a8\u5e7f\uff0c\u5305\u62ec\u975e\u7ebf\u6027\u7cfb\u7edf\u548c\u5305\u62ec\u7f3a\u5931\u8282\u70b9\u7684\u7f51\u7edc\u8865\u5168\u95ee\u9898\u7684\u6c42\u89e3\u3002\u5173\u4e8e\u8fd9\u4e00\u65b9\u6cd5\uff0c\u4e0b\u6587\u7ed9\u51fa\u4e86\u5f88\u7cbe\u5f69\u7684\u7efc\u8ff0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"122\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<br  \/>\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/engine.scichina.com\/publisher\/scp\/journal\/SSPMA\/50\/1\/10.1360\/SSPMA2019-0127?slug=abstract<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4566929133858268\" data-s=\"300,640\"  data-type=\"png\" data-w=\"889\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-ec2b5cccfa4054a9a8f483d44155ba33.png\"  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1189?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5f53\u7136\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u4e0d\u7528\u89e3\u6790\u6c42\u89e3\uff0c\u800c\u662f\u76f4\u63a5\u8fd0\u7528\u7ebf\u6027\u56de\u5f52\u7684\u65b9\u5f0f\u6765\u5bf9\u65b9\u7a0b\u7ec4\u8fdb\u884c\u6c42\u89e3\uff0c\u4ece\u800c\u89e3\u51b3\u7f51\u7edc\u7684\u91cd\u6784\u95ee\u9898\u3002\u4f8b\u5982\uff0cNature Communications \u5728 2017 \u5e74\u53d1\u8868\u7684\u8fd9\u7bc7\u6587\u7ae0\u5c31\u662f\u8fd9\u4e48\u5e72\u7684\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"138\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Model-free inference of direct network interactions from nonlinear collective dynamics<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/s41467-017-02288-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4122893954410307\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1009\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-c6d1510d38d132a3a1e7164ffd87e637.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1365?from=wechat<\/span><\/strong><\/span><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u6709\u6bd4\u8f83\u6e05\u6670\u7684\u4f8b\u5b50\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"91\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Dynamical networks reconstructed from time series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1209.0219<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u53ef\u4ee5\u5e94\u4ed8\u6570\u636e\u91cf\u5c0f\u3001\u7a00\u758f\u7f51\u7edc\u7684\u7b97\u6cd5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"142\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstructing the topology of sparsely connected dynamical networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.77.026103<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u538b\u7f29\u611f\u77e5\uff08Compress Sensing\uff09<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u4e00\u5957\u4e0e\u5176\u975e\u5e38\u76f8\u7c7b\u4f3c\u7684\u601d\u8def\u5c31\u662f\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u3002\u5176\u5b9e\uff0c\u8fd9\u5957\u65b9\u6cd5\u540c\u6837\u4e5f\u662f\u8981\u5148\u5c06\u7cfb\u7edf\u52a8\u529b\u5b66\u6cd5\u5219 f \u7b80\u5316\u6210\u4e00\u7ec4\u7ebf\u6027\u7684\u51fd\u6570\uff0c\u7136\u540e\uff0c\u5728\u6c42\u89e3\u65b9\u5f0f\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u66f4\u52a0\u5148\u8fdb\u7684\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6240\u8c13\u7684\u538b\u7f29\u611f\u77e5\u5176\u5b9e\u662f\u53d1\u5c55\u81ea\u4fe1\u53f7\u5904\u7406\u9886\u57df\u7684\u4e00\u5957\u65b9\u6cd5\uff0c\u5b83\u4e13\u95e8\u89e3\u51b3\u4e00\u4e2a\u6b20\u5b9a\uff08Undetermined\uff09\u7ebf\u6027\u7cfb\u7edf\u7684\u6c42\u89e3\u95ee\u9898\uff0c\u7b80\u5355\u8bb2\uff0c\u5b83\u53ef\u4ee5\u63cf\u8ff0\u4e58\u5982\u4e0b\u77e9\u9635\u7684\u6c42\u89e3\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.6325\"  data-type=\"png\" data-w=\"400\" style=\"left: 349px;width: 368px;height: 233px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-5e3a1595c25d6051729c2869d15a98d9.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u56fe8\uff1a\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u793a\u610f\u56fe<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5176\u4e2d x \u662f\u6211\u4eec\u9700\u8981\u91cd\u6784\u7684\u539f\u59cb\u4fe1\u53f7\uff0cD \u662f\u4e00\u4e2a\u5df2\u77e5\u7684\u89c2\u6d4b\u77e9\u9635\uff0cy \u5219\u662f\u6211\u4eec\u80fd\u591f\u89c2\u6d4b\u5230\u7684\u4fe1\u53f7\u3002\u6ce8\u610f\uff0c\u5728\u5f88\u591a\u7cfb\u7edf\u4e2d\uff0cx \u662f\u4e00\u4e2a\u975e\u5e38\u9ad8\u7ef4\u7684\u7a00\u758f\u5411\u91cf\uff08\u4e5f\u5c31\u662f x \u4e2d\u5b58\u5728\u5927\u91cf\u7684 0 \u5143\u7d20\uff09\u3002\u8fd9\u6837\uff0c\u7531\u4e8e x \u7684\u7ef4\u5ea6\u8fdc\u8fdc\u9ad8\u4e8e y \u7684\u7ef4\u5ea6\uff0c\u8fd9\u5c31\u4f7f\u5f97\u8be5\u7cfb\u7edf\u6b20\u5b9a\uff0c\u4e5f\u5c31\u662f\u4f60\u65e0\u6cd5\u7ed9\u51fa\u65b9\u7a0b\u7684\u89e3\uff0c\u56e0\u4e3a\u672a\u77e5\u6570\u7684\u4e2a\u6570\u8fdc\u5927\u4e8e\u65b9\u7a0b\u7ec4\u7684\u65b9\u7a0b\u4e2a\u6570\u3002\u4f46\u662f\uff0c\u5982\u679c\u6211\u4eec\u5145\u5206\u5229\u7528 x \u662f\u7a00\u758f\u5411\u91cf\u8fd9\u4e2a\u6761\u4ef6\uff0c\u90a3\u4e48\u8fd9\u4e00\u65b9\u7a0b\u662f\u53ef\u4ee5\u5229\u7528\u4e00\u5b9a\u7684\u4f18\u5316\u7b97\u6cd5\u8fdb\u884c\u6c42\u89e3\u7684\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u76ee\u6807\u51fd\u6570\u4e3a |y-Dx| \u7684\u503c\uff0c\u5e76\u5c06\u5b83\u6700\u5c0f\u5316\uff0c\u540c\u65f6\u8003\u8651\u7a00\u758f\u6027\u7ea6\u675f\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u6c42\u89e3\u8fd9\u4e2a\u95ee\u9898\u4e86\u3002\u5728\u4fe1\u53f7\u5904\u7406\u9886\u57df\uff0c\u8fd9\u6837\u7684\u7a00\u758f\u89e3\u662f\u975e\u5e38\u63a5\u8fd1\u539f\u59cb\u7684\u771f\u5b9e\u89e3\u7684\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5229\u7528\u8fdc\u5c0f\u4e8e\u5948\u594e\u65af\u7279\u91c7\u6837\u9891\u7387\uff08Nyquist frequency\uff09\u7684\u65b9\u5f0f\u5bf9\u539f\u4fe1\u53f7\u91c7\u6837\uff0c\u7136\u540e\u7528\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u5bf9\u539f\u4fe1\u53f7\u8fdb\u884c\u91cd\u6784\u4e86\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u90a3\u4e48\uff0c\u6211\u4eec\u5982\u4f55\u5c06\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u5e94\u7528\u4e8e\u7f51\u7edc\u91cd\u6784\u4e2d\u5462\uff1f\u91cd\u8981\u7684\u4e00\u6b65\u5c31\u662f\u8981\u628a\u4e00\u4e2a\u52a8\u529b\u5b66\u7cfb\u7edf\u8f6c\u5316\u6210\u538b\u7f29\u611f\u77e5\u90a3\u6837\u7684\u6b20\u5b9a\u7ebf\u6027\u7cfb\u7edf\u3002\u5177\u4f53\u6765\u8bb2\uff0c\u672a\u77e5\u7684\u4e34\u754c\u77e9\u9635\uff0c\u4ee5\u53ca\u4e00\u4e9b\u8026\u5408\u5728\u52a8\u529b\u5b66\u4e2d\u7684\u53c2\u6570\uff0c\u8fd9\u4e9b\u5c31\u6784\u6210\u4e86\u539f\u59cb\u7684\u672a\u77e5\u4fe1\u53f7 x\uff0c\u800c\u52a8\u529b\u5b66\u89c4\u5219\u7b49\u5c31\u6784\u6210\u4e86\u89c2\u6d4b\u77e9\u9635 D\uff0c\u90a3\u4e48\u53ef\u89c2\u6d4b\u5230\u7684\u65f6\u95f4\u5e8f\u5217\u5c31\u6784\u6210\u4e86\u90a3\u4e2a\u89c2\u6d4b\u4fe1\u53f7 y\u3002\u4e8e\u662f\uff0c\u8981\u60f3\u5229\u7528\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\uff0c\u6211\u4eec\u5fc5\u987b\u8981\u6c42\u91cd\u6784\u7684\u7f51\u7edc x \u5177\u6709\u7a00\u758f\u6027\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u5229\u7528\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\u4e86\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u5982\u4f55\u7528\u4e8e\u7f51\u7edc\u91cd\u6784\uff0c\u5927\u5bb6\u53ef\u4ee5\u53c2\u8003\u6211\u4eec\u5b66\u9662\uff08\u5317\u5e08\u5927\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\uff09\u738b\u6587\u65ed\u8001\u5e08\u4ed6\u4eec\u53d1\u8868\u5728 Physics Reports \u4e0a\u9762\u7684\u4e00\u7bc7\u7efc\u8ff0\u6587\u7ae0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"155\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Data based identification and prediction of nonlinear and complex dynamical systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S037015731630134X<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.363079615048119\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1143\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-b0f062c43ef8ec6e17284c913b17c89a.png\"  \/><strong style=\"color: rgb(136, 136, 136);\"><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1200?from=wechat<\/span><\/strong><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u901a\u8fc7\u4e4b\u524d\u7c7b\u4f3c\u7684\u65b9\u6cd5\u5c06\u975e\u7ebf\u6027\u65b9\u7a0b\u7ec4\u8f6c\u5316\u4e3a\u7ebf\u6027\uff0c\u7136\u540e\u8fdb\u884c\u91cd\u6784\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"148\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Time-series\u2013based prediction of complex oscillator networks via compressive sensing<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/iopscience.iop.org\/article\/10.1209\/0295-5075\/94\/48006<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u9664\u4e86\u5c06\u539f\u59cb\u7684\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u65b9\u7a0b\u7ebf\u6027\u5316\u4ee5\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e9b\u6280\u5de7\u5c06\u95ee\u9898\u8f6c\u5316\u4e3a\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\u53ef\u4ee5\u5904\u7406\u7684\u7ebf\u6027\u5316\u65b9\u5f0f\u3002\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u91cd\u6784\u51fa\u4f20\u64ad\u7f51\u7edc\uff0c\u8fd8\u53ef\u4ee5\u5b9a\u4f4d\u4f20\u64ad\u6e90\u5934\u3002\u4f8b\u5982\uff0c\u738b\u6587\u65ed\u4ed6\u4eec\u7ec4\u7684\u53e6\u4e00\u7bc7\u6587\u7ae0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"133\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstructing propagation networks with natural diversity and identifying hidden sources<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/ncomms5323<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76f8\u5173\u9605\u8bfb\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247500714&amp;idx=1&amp;sn=f1edec0d7a4ea551e1a75e5cea470060&amp;chksm=e8979927dfe0103134a871b591329319716b9aaee97822a9c09b69c716e13fe414e17d445665&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"font-size: 15px;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><span style=\"font-size: 15px;\">\u4e3a\u4e86\u7814\u7a76\u56e0\u679c\u5173\u7cfb\uff0c\u539f\u6765\u79d1\u5b66\u5bb6\u5728\u8fd9\u4e48\u591a\u65b9\u5411\u4e0a\u90fd\u6709\u5c1d\u8bd5<\/span><\/a><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u7528\u538b\u7f29\u611f\u77e5\u91cd\u6784\u6df7\u6c8c\u5438\u5f15\u5b50\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"156\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.106.154101<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u5219\u901a\u8fc7\u535a\u5f08\u884c\u4e3a\u6570\u636e\u91cd\u6784\u4e86\u80cc\u540e\u7684\u535a\u5f08\u7f51\u7edc<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"144\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prx\/abstract\/10.1103\/PhysRevX.1.021021<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u6307\u51fa\uff0c\u5982\u679c\u52a8\u529b\u7cfb\u7edf\u4e2d\u5b58\u5728\u7740\u566a\u58f0\uff0c\u6709\u53ef\u80fd\u63d0\u5347\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\u7684\u91cd\u6784\u80fd\u529b\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"144\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstruction of Complex Network based on the Noise via QR Decomposition and Compressed Sensing<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/s41598-017-15181-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u8fd9\u7bc7\u6587\u7ae0\u5c06\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u6269\u5145\u5230\u4e86\u65f6\u95f4\u53ef\u53d8\u7684\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u7cfb\u7edf\u4e2d\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"164\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Forecasting the future: Is it possible for adiabatically time-varying nonlinear dynamical systems?<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/aip.scitation.org\/doi\/abs\/10.1063\/1.4740057?journalCode=cha<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.4122893954410307\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1009\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-c6d1510d38d132a3a1e7164ffd87e637.png\"  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1365?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7 PNAS \u6587\u7ae0\u5bf9\u538b\u7f29\u611f\u77e5\u6cd5\u505a\u4e86\u5f88\u597d\u7684\u6982\u62ec\u548c\u603b\u7ed3\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"148\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Discovering governing equations from data by sparse identification of nonlinear dynamical systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.pnas.org\/content\/113\/15\/3932<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u9a71\u52a8\u54cd\u5e94\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u524d\u9762\u8bb2\u8ff0\u7684\u65b9\u6cd5\u5927\u591a\u6570\u90fd\u662f\u88ab\u52a8\u7684\u63a5\u53d7\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u6a21\u578b\u7684\u6784\u5efa\u3002\u53e6\u5916\u4e00\u79cd\u65b9\u6cd5\u5219\u662f\u53ef\u4ee5\u4e3b\u52a8\u5730\u5e72\u9884\u7cfb\u7edf\uff0c\u5e76\u6839\u636e\u7cfb\u7edf\u7684\u53cd\u9988\u6765\u91cd\u6784\u7f51\u7edc\u6216\u8005\u52a8\u529b\u5b66\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u4e00\u65b9\u6cd5\u7684\u57fa\u672c\u601d\u8def\u662f\uff0c\u5047\u8bbe\u7cfb\u7edf\u6f14\u5316\u8fbe\u5230\u7a33\u6001\u7684\u65f6\u5019\uff0c\u6211\u4eec\u7ed9\u5176\u4e2d\u67d0\u4e00\u4e2a\u8282\u70b9\u52a0\u4e0a\u4e00\u4e2a\u51b2\u51fb\u4fe1\u53f7\uff08\u4e00\u4e2a delta \u5206\u5e03\u51fd\u6570\uff09\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5c06\u6574\u4e2a\u7cfb\u7edf\u7684\u6f14\u5316\u65b9\u7a0b\u5728\u7a33\u6001\u9644\u8fd1\u8fdb\u884c\u7ea7\u6570\u5c55\u5f00\uff0c\u4ece\u800c\u5c06\u5404\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u4e92\u5f71\u54cd\u5173\u7cfb\u63a8\u6d4b\u51fa\u6765\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u662f\u8fd1\u671f\u53d1\u8868\u5728 Science Advances \u4e0a\u7684\u4e00\u7bc7\u7528\u9a71\u52a8\u54cd\u5e94\u65b9\u5f0f\u8fdb\u884c\u7f51\u7edc\u91cd\u6784\u7684\u6587\u7ae0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"133\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Revealing physical interaction networks from statistics of collective dynamics<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/advances.sciencemag.org\/content\/3\/2\/e1600396<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u7684\u7b2c\u4e00\u90e8\u5206\u5bf9\u9a71\u52a8\u54cd\u5e94\u65b9\u6cd5\u8fdb\u884c\u4e86\u7efc\u8ff0\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"86\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Revealing networks from dynamics: an introduction<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1408.2963<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\"><img class=\"rich_pages\" data-ratio=\"0.363079615048119\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1143\" style=\"text-align: center;white-space: normal;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-b0f062c43ef8ec6e17284c913b17c89a.png\"  \/><strong style=\"text-align: center;white-space: normal;color: rgb(136, 136, 136);\"><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1200?from=wechat<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7136\u800c\u4e0a\u9762\u7684\u5f88\u591a\u4f8b\u5b50\u90fd\u9700\u8981\u5b9e\u73b0\u7ed9\u5b9a\u7cfb\u7edf\u6f14\u5316\u7684\u52a8\u529b\u5b66\u6cd5\u5219\u800c\u91cd\u6784\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\uff0c\u6240\u4ee5\u4e25\u683c\u8bb2\u5b83\u5e94\u8be5\u5f52\u7c7b\u4e8e\u57fa\u4e8e\u6a21\u578b\uff08Model based\uff09\u7684\u91cd\u6784\u65b9\u6cd5\u3002\u7136\u800c\uff0c\u8fd9\u4e00\u70b9\u5e76\u4e0d\u662f\u5fc5\u987b\u7684\uff0c\u4f8b\u5982\u4e0b\u6587\u6700\u540e\u63d0\u4f9b\u7684\u4f8b\u5b50\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"122\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">http:\/\/engine.scichina.com\/publisher\/scp\/journal\/SSPMA\/50\/1\/10.1360\/SSPMA2019-0127?slug=abstract<\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.4566929133858268\" data-s=\"300,640\"  data-type=\"png\" data-w=\"889\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-ec2b5cccfa4054a9a8f483d44155ba33.png\"  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1189?from=wechat<\/span><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8be5\u6587\u8fd8\u6307\u51fa\uff0c\u5f53\u5e72\u9884\u8282\u70b9\u4e4b\u5916\u7684\u5176\u4ed6\u8282\u70b9\u662f\u4e0d\u53ef\u89c2\u6d4b\u7684\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u4ecd\u7136\u53ef\u4ee5\u91cd\u6784\u51fa\u6211\u4eec\u611f\u5174\u8da3\u7684\u90e8\u5206\u7f51\u7edc\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\">\u6982\u7387\u56fe\u6a21\u578b<\/span><\/strong><\/h3>\n<p><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6982\u7387\u56fe\u6a21\u578b\uff08Probabilistic Graphical Models\uff09\uff0c\u5305\u62ec\u8d1d\u53f6\u65af\u7f51\u7edc\uff08Bayesian Network\uff09\u4ee5\u53ca\u9a6c\u5c14\u53ef\u592b\u7f51\u7edc\uff08Markov Network\uff09\uff0c\u5b83\u4eec\u662f\u4e00\u79cd\u96c6\u63a8\u7406\u3001\u5b66\u4e60\u4e8e\u4e00\u4f53\u7684\u6a21\u578b\u3002\u5b83\u4eec\u901a\u8fc7\u5c06\u5f85\u7814\u7a76\u7684\u7cfb\u7edf\u770b\u4f5c\u662f\u4e00\u4e2a\u76f8\u4e92\u4f5c\u7528\u7684\u7f51\u7edc\uff0c\u5176\u4e2d\u6bcf\u4e00\u4e2a\u8282\u70b9\u90fd\u662f\u4e00\u4e2a\u968f\u673a\u53d8\u91cf\u3002\u8fd9\u4e9b\u968f\u673a\u53d8\u91cf\u7684\u52a8\u529b\u5b66\u5b8c\u5168\u7531\u5b83\u4eec\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u6240\u51b3\u5b9a\uff0c\u800c\u6574\u4e2a\u6982\u7387\u56fe\u6a21\u578b\u6240\u8868\u8fbe\u7684\u6070\u6070\u5c31\u662f\u5bf9\u8fd9\u79cd\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u4e00\u79cd\u5206\u89e3\u65b9\u6cd5\u3002\u8fde\u8fb9\u5c31\u8868\u793a\u8fd9\u4e24\u4e2a\u8282\u70b9\u968f\u673a\u53d8\u91cf\u5f7c\u6b64\u6709\u76f4\u63a5\u7684\u8054\u7cfb\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5c3d\u7ba1\u6982\u7387\u56fe\u6a21\u578b\u901a\u5e38\u5e76\u975e\u662f\u8868\u8fbe\u52a8\u6001\u7cfb\u7edf\u7684\uff0c\u4f46\u6211\u4eec\u4e5f\u53ef\u4ee5\u5c06\u52a8\u529b\u7cfb\u7edf\u4e0e\u6982\u7387\u56fe\u6a21\u578b\u505a\u4e00\u4e2a\u6bd4\u8f83\u3002\u6574\u4e2a\u7cfb\u7edf\u7684\u201c\u52a8\u529b\u5b66\u201d\u5c31\u4f53\u73b0\u4e3a\u6574\u4e2a\u6982\u7387\u56fe\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u3002\u201c\u52a8\u529b\u5b66\u89c4\u5219\u201d\u5c31\u662f\u8282\u70b9\u6982\u7387\u5206\u5e03\u4e4b\u95f4\u7684\u67d0\u79cd\u5236\u7ea6\u3002\u8054\u5408\u6982\u7387\u7ed9\u5b9a\uff0c\u5b83\u5c31\u53ef\u4ee5\u7a33\u5b9a\u5730\u8f93\u51fa\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u6211\u4eec\u6839\u636e\u8fd9\u4e9b\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5373\u53ef\u91cd\u6784\u539f\u59cb\u7684\u7f51\u7edc\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4ee5\u8d1d\u53f6\u65af\u7f51\u4e3a\u4f8b\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\"><br  \/><\/span><img data-ratio=\"0.565234375\"  data-type=\"png\" data-w=\"2560\" style=\"left: 349px;width: 475px;height: 268px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-268609e4bb5bc9f21e0901b1a35ad025.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u56fe9\uff1a\u8d1d\u53f6\u65af\u7f51\u793a\u4f8b<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u56fe\u4e2d\u6bcf\u4e2a\u8282\u70b9\u65c1\u8fb9\u7684\u8868\u90fd\u662f\u4e00\u4e2a\u6761\u4ef6\u6982\u7387\u8868\uff0c\u8868\u793a\u7684\u662f\u8be5\u8282\u70b9\u7684\u7236\u8282\u70b9\u5728\u53d6\u5b9a\u67d0\u4e00\u4e2a\u503c\u7684\u6761\u4ef6\u4e0b\uff0c\u6211\u53d6\u5b9a\u67d0\u4e00\u4e2a\u503c\u7684\u6982\u7387\u3002\u8fd9\u4e9b\u6761\u4ef6\u6982\u7387\u5c31\u76f8\u5f53\u4e8e\u662f\u201c\u52a8\u529b\u5b66\u89c4\u5219\u201d\u3002\u5047\u8bbe\u5728t\u65f6\u523b\uff0c\u4e09\u4e2a\u8282\u70b9\u7684\u72b6\u6001\u5206\u522b\u4e3a Rain=T, Sprinkler=F, Grass=T\uff0c\u5219\u6839\u636e\u6982\u7387\u89c4\u5219\u8868\uff0c\u5728 t+1 \u65f6\u523b\uff0cRain \u6709\u53ef\u80fd\u53d6 F\uff0cSprinkler \u6709\u53ef\u80fd\u53d6 F\uff0c\u800c Grass \u6709\u53ef\u80fd\u53d6 T\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u8fd9\u6837\u7684\u7f51\u7edc\u4e2d\uff0c\u6839\u636e\u89c2\u6d4b\u5230\u7684\u65f6\u95f4\u5e8f\u5217\u63a8\u65ad\u51fa\u8fd9\u4e9b\u53d8\u91cf\u80cc\u540e\u7684\u6761\u4ef6\u6982\u7387\u8868\uff0c\u5c31\u76f8\u5f53\u4e8e\u662f\u5728\u5b66\u4e60\u8fd9\u4e2a\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u3002\u53e6\u5916\uff0c\u6839\u636e\u6570\u636e\u4e5f\u53ef\u4ee5\u63a8\u65ad\u80cc\u540e\u7684\u7f51\u7edc\u94fe\u63a5\uff0c\u8fd9\u5728\u8d1d\u53f6\u65af\u7f51\u4e2d\u88ab\u79f0\u4e3a\u201c\u7ed3\u6784\u5b66\u4e60\u201d\uff08Structure Learning\uff09\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u5173\u6982\u7387\u56fe\u6a21\u578b\u6700\u597d\u7684\u8d44\u6599\u5c31\u662f\u8fd9\u672c\u4e66\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/>\u5173\u4e8e\u6982\u7387\u56fe\u6a21\u578b\uff0c\u53ef\u53c2\u8003\u8fd9\u672c\u4e66\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\"><br  \/><\/span><img data-ratio=\"1.1261261261261262\"  data-type=\"png\" data-w=\"444\" style=\"left: 349px;width: 300px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-4f3f04e9629fb13b042fee7c67fabd10.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe10\uff1a\u6982\u7387\u56fe\u6a21\u578b<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u8fd9\u91cc\u6709\u4e00\u7bc7\u5173\u4e8e\u8d1d\u53f6\u65af\u7f51\u5b66\u4e60\u7684\u7efc\u8ff0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"123\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A guide to the literature on learning probabilistic networks from data<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/ieeexplore.ieee.org\/abstract\/document\/494161<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u8d1d\u53f6\u65af\u7f51\u7edc\u7684\u7ed3\u6784\u5b66\u4e60\u6765\u91cd\u6784\u79c0\u4e3d\u7ebf\u866b\u7684\u795e\u7ecf\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"187\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/royalsocietypublishing.org\/doi\/full\/10.1098\/rstb.2017.0377<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\">\u56e0\u679c\u7f51\u7edc<\/span><\/strong><\/span><\/h3>\n<p><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5982\u679c\u7cfb\u7edf\u5b58\u5728\u7740\u786e\u5b9a\u6027\u7684\u6f14\u5316\u65b9\u7a0b\uff0c\u5e76\u4e14\u5982\u679c\u67d0\u4e2a\u53d8\u91cfx\u51fa\u73b0\u5728\u53e6\u4e00\u4e2a\u53d8\u91cf y \u7684\u6f14\u5316\u65b9\u7a0b\u4e2d\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u8ba4\u4e3a x \u6784\u6210\u4e86 y \u7684\u4e00\u4e2a\u539f\u56e0\uff0c\u4e5f\u5c31\u662f\u8bf4\uff0cx \u548c y \u4e4b\u95f4\u5b58\u5728\u7740\u56e0\u679c\u8054\u7cfb\u3002\u7136\u800c\uff0c\u5f53\u6211\u4eec\u8003\u8651\u7684\u7cfb\u7edf\u662f\u968f\u673a\u7684\u4e0d\u786e\u5b9a\u7cfb\u7edf\u7684\u65f6\u5019\uff0c\u8fd9\u79cd\u8054\u7cfb\u5219\u6ca1\u6709\u90a3\u4e48\u663e\u7136\u3002\u5728\u6982\u7387\u56fe\u6a21\u578b\u7684\u6846\u67b6\u4e0b\uff0c\u4eba\u4eec\u5c06\u56e0\u679c\u8054\u7cfb\u8d4b\u4e88\u4e86\u66f4\u591a\u7684\u5185\u6db5\u3002\u4f8b\u5982\uff0c\u5982\u679c\u968f\u673a\u53d8\u91cf X \u6784\u6210\u4e86\u968f\u673a\u53d8\u91cf Y \u7684\u539f\u56e0\u5c31\u4e0d\u4ec5\u8981\u6c42\uff0c\u5728 X \u7684\u6761\u4ef6\u4e0b Y \u7684\u6982\u7387\u66f4\u9ad8\uff0c\u800c\u4e14\u8fd8\u8981\u6c42\u5728\u4e3b\u52a8\u5bf9 X \u8fdb\u884c\u5e72\u9884\u7684\u6761\u4ef6\u4e0b\uff0c\u80fd\u591f\u8ba9 Y \u51fa\u73b0\u7684\u6982\u7387\u51fa\u73b0\u663e\u8457\u53d8\u5316\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u4ec0\u4e48\u662f\u56e0\u679c\uff0c\u4ee5\u53ca\u5b83\u4e0e\u666e\u901a\u6982\u7387\u56fe\u6a21\u578b\u4e4b\u95f4\u7684\u5173\u7cfb\u53ef\u4ee5\u91cd\u70b9\u53c2\u8003 Pearl \u7684\u8fd9\u4e24\u672c\u4e66\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e3a\u4ec0\u4e48\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.amazon.com\/-\/zh\/dp\/046509760X\/ref=sr_1_3?__mk_zh_CN=%E4%BA%9A%E9%A9%AC%E9%80%8A%E7%BD%91%E7%AB%99&amp;keywords=why&amp;qid=1582185453&amp;s=books&amp;sr=1-3<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u4e00\u672c\u662f\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Causality\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.amazon.com\/-\/zh\/dp\/052189560X\/ref=sr_1_1?__mk_zh_CN=%E4%BA%9A%E9%A9%AC%E9%80%8A%E7%BD%91%E7%AB%99&amp;keywords=causality&amp;qid=1582185500&amp;s=books&amp;sr=1-1<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u4e24\u7bc7\u6587\u7ae0\u7efc\u8ff0\u4e86\u4ece\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u91cd\u6784\u56e0\u679c\u7f51\u7edc\u7684\u65b9\u6cd5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"152\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Causal network reconstruction from time series: From theoretical assumptions to practical estimation<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/aip.scitation.org\/doi\/full\/10.1063\/1.5025050<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"105\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A survey of learning causality with data: Problems and methods<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1809.09337<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7 Science Advances \u4e0a\u7684\u6587\u7ae0\u4ecb\u7ecd\u4e86\u4e00\u79cd\u901a\u8fc7\u5ef6\u8fdf\u673a\u5236\u5bfb\u627e\u56e0\u679c\u5173\u7cfb\u7684\u505a\u6cd5\uff1a<br  \/><\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"147\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Detecting and quantifying causal associations in large nonlinear time series datasets<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">https:\/\/advances.sciencemag.org\/content\/5\/11\/eaau4996.abstract<\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.46319365798414497\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-dc125526d4fb8d63b03d4369b945f3a6.png\"  \/><\/section>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-family: &quot;Microsoft YaHei&quot;, &quot;PingFang SC&quot;, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Noto Sans&quot;, Tahoma, Arial, simsun, sans-serif;text-align: center;background-color: rgb(255, 255, 255);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1573?from=wechat<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u4ecb\u7ecd\u4e86\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\u5728\u751f\u6001\u7f51\u7edc\u4e2d\u7684\u5e94\u7528\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"137\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Causal Link Estimation Under Hidder Confounding&nbsp;in Ecological&nbsp;Time Series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/advances.sciencemag.org\/content\/5\/11\/eaau4996.abstract<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\">\u6f14\u5316\u8ba1\u7b97\u65b9\u6cd5<\/span><\/strong><\/span><\/h3>\n<p><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u672c\u8d28\u4e0a\u8bb2\uff0c\u5bfb\u6c42\u7cfb\u7edf\u80cc\u540e\u7684\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u7ed3\u6784\u4ee5\u53ca\u52a8\u529b\u5b66\u53ef\u4ee5\u770b\u4f5c\u662f\u5728\u6240\u6709\u53ef\u80fd\u7684\u7f51\u7edc\u7ed3\u6784\u548c\u52a8\u529b\u5b66\u7a7a\u95f4\u4e2d\u627e\u5230\u6700\u80fd\u591f\u89e3\u91ca\u6570\u636e\u7684\u65b9\u6848\uff0c\u56e0\u6b64\uff0c\u8fd9\u7c7b\u95ee\u9898\u4e5f\u53ef\u4ee5\u88ab\u770b\u4f5c\u662f\u4e00\u79cd\u641c\u7d22\u95ee\u9898\u3002\u6f14\u5316\u7b97\u6cd5\u662f\u89e3\u51b3\u641c\u7d22\u95ee\u9898\u7684\u4e00\u79cd\u5f3a\u6709\u529b\u7684\u65b9\u6cd5\uff0c\u5b83\u7684\u597d\u5904\u5c31\u662f\u901a\u7528\u6027\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7 PNAS \u6587\u7ae0\u5c31\u7528\u9057\u4f20\u7f16\u7a0b\u7684\u624b\u6bb5\u6765\u89e3\u51b3\u52a8\u529b\u7cfb\u7edf\u7684\u91cd\u6784\u95ee\u9898\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"105\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Automated reverse engineering of nonlinear dynamical systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.pnas.org\/content\/104\/24\/9943<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5219\u7528\u6f14\u5316\u8ba1\u7b97\u7684\u624b\u6bb5\u5bfb\u627e\u5408\u9002\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u4ece\u800c\u50cf\u795e\u7ecf\u7f51\u7edc\u4e00\u6837\u6765\u62df\u5408\u4efb\u610f\u7684\u4ece\u8f93\u5165\u5230\u8f93\u51fa\u7684\u6620\u5c04\u3002\u6211\u4eec\u77e5\u9053\uff0c\u4e00\u822c\u7684\u795e\u7ecf\u7f51\u7edc\u662f\u901a\u8fc7\u4f18\u5316\u7f51\u7edc\u7684\u6743\u91cd\u53c2\u6570\uff0c\u4ece\u800c\u5b8c\u6210\u4ece\u8f93\u5165\u5230\u8f93\u51fa\u7684\u62df\u5408\u7684\uff0c\u800c\u8fd9\u4e2a\u7814\u7a76\u5219\u5c06\u7f51\u7edc\u8282\u70b9\u7684\u52a8\u529b\u5b66\u53ca\u53c2\u6570\u56fa\u5b9a\uff0c\u800c\u4f18\u5316\u7f51\u7edc\u7684\u7ed3\u6784\u4ee5\u5b8c\u6210\u7c7b\u4f3c\u7684\u4efb\u52a1\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"126\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1811.05592<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\">\u56fe\u795e\u7ecf\u7f51\u7edc\u65b9\u6cd5<\/span><\/strong><\/span><\/h3>\n<p><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0a\u9762\u7684\u5404\u7c7b\u65b9\u6cd5\u867d\u7136\u90fd\u80fd\u5f88\u597d\u5730\u5de5\u4f5c\uff0c\u4f46\u5728\u4e00\u822c\u60c5\u51b5\u4e0b\u90fd\u5e76\u4e0d\u80fd\u7ed9\u51fa\u6bd4\u8f83\u9ad8\u7684\u9884\u6d4b\u7cbe\u5ea6\u3002\u7279\u522b\u662f\uff0c\u5f53\u6211\u4eec\u8003\u8651\u7684\u52a8\u529b\u5b66\u8fc7\u7a0b\u975e\u5e38\u590d\u6742\u7684\u65f6\u5019\uff0c\u7531\u4e8e\u8fd9\u4e9b\u6a21\u578b\u672c\u8eab\u7684\u7b80\u5355\u6027\uff0c\u6240\u4ee5\u4e0d\u80fd\u591f\u628a\u63e1\u5177\u6709\u590d\u6742\u6a21\u5f0f\u7684\u6570\u636e\u3002\u800c\u795e\u7ecf\u7f51\u7edc\u5219\u6070\u6070\u6700\u64c5\u957f\u4e8e\u6355\u6349\u590d\u6742\u7684\u76f8\u4e92\u4f5c\u7528\u5173\u7cfb\uff0c\u5e76\u7ed9\u51fa\u8f83\u9ad8\u51c6\u786e\u5ea6\u7684\u9884\u6d4b\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u7279\u522b\u662f\u795e\u7ecf\u7f51\u7edc\uff0c\u5f80\u5f80\u65e0\u6cd5\u7ed9\u51fa\u5f88\u597d\u7684\u89e3\u91ca\u3002\u7279\u522b\u662f\uff0c\u795e\u7ecf\u7f51\u7edc\u5404\u4e2a\u795e\u7ecf\u5143\u4e4b\u95f4\u7684\u8054\u7cfb\u5e76\u4e0d\u80fd\u53cd\u6620\u5404\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u5173\u7cfb\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u56fe\u795e\u7ecf\u7f51\u7edc\uff08Graph Neural Network\uff09\u6216\u7b80\u79f0\u56fe\u7f51\u7edc\uff08Graph Network\uff09\u662f\u4e00\u79cd\u8fd1\u5e74\u6765\u65b0\u63d0\u51fa\u7684\u4e00\u79cd\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u53ef\u4ee5\u7528\u6765\u5b66\u4e60\u4e00\u4e2a\u56fe\u4e0a\u7684\u52a8\u529b\u5b66\uff0c\u4e5f\u53ef\u4ee5\u5b66\u4e60\u56fe\u672c\u8eab\u7684\u7ed3\u6784\uff0c\u5b83\u76f8\u5bf9\u4e8e\u4f20\u7edf\u65b9\u6cd5\u6765\u8bf4\u5177\u6709\u5f88\u9ad8\u7684\u9884\u6d4b\u51c6\u786e\u5ea6\u3002\u800c\u76f8\u5bf9\u4e8e\u666e\u901a\u7684\u795e\u7ecf\u7f51\u7edc\u6765\u8bf4\uff0c\u5b83\u591a\u51fa\u4e86\u4e00\u4e2a\u5148\u9a8c\u7684\u56fe\u7ed3\u6784\uff0c\u8fd9\u79cd\u56fe\u5c31\u80fd\u5f88\u597d\u5730\u53cd\u6620\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u6a21\u5f0f\uff0c\u8981\u5b66\u4e60\u7684\u4ec5\u4ec5\u662f\u8282\u70b9\u4e0a\u7684\u52a8\u529b\u5b66\uff0c\u56e0\u6b64\uff0c\u8fd9\u79cd\u6a21\u578b\u6216\u65b9\u6cd5\u5177\u6709\u5f88\u597d\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u5173\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u7efc\u8ff0\uff0c\u53ef\u4ee5\u770b\u8fd9\u7bc7\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"98\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Relational inductive biases, deep learning, and graph networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1806.01261<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u76f8\u5173\u9605\u8bfb\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247503097&amp;idx=1&amp;sn=30c402aabf4e4a30239a31822653ce8e&amp;chksm=e8979674dfe01f621f41419faf9358a505d0835e6c4cb7b7784553df214a72a8e4bcbf61a16d&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u56fe\u7f51\u7edc\u5165\u95e8\u8def\u5f84\uff1a\u4ece\u7f51\u7edc\u79d1\u5b66\u89c6\u89d2\u51fa\u53d1\uff0c\u4e0a\u624b\u6df1\u5ea6\u5b66\u4e60\u524d\u6cbf\u6280\u672f<\/a><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u4f5c\u8005\u5c06\u4e8b\u5148\u7ed9\u5b9a\u7684\u7f51\u7edc\u7ed3\u6784\u79f0\u4e3a\u5173\u7cfb\u5f52\u7eb3\u504f\u89c1\uff08Relational Inductive Bias\uff09\u3002\u8fd9\u76f8\u5f53\u4e8e\u662f\u8bf4\uff0c\u5efa\u6a21\u8005\u53ef\u4ee5\u5c06\u81ea\u5df1\u5bf9\u95ee\u9898\u7684\u5148\u9a8c\u77e5\u8bc6\u653e\u5230\u56fe\u7ed3\u6784\u4e4b\u4e2d\uff0c\u4ece\u800c\u548c\u5f3a\u5927\u7684\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u8026\u5408\u5230\u4e00\u8d77\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5f53\u7cfb\u7edf\u80cc\u540e\u7684\u7f51\u7edc\u5df2\u77e5\u7684\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u4ee5\u5b66\u4e60\u7f51\u7edc\u4e0a\u7684\u52a8\u529b\u5b66\u3002\u4e5f\u5c31\u662f\u5b66\u4e60\u4ece x_t \u5230 x_{t+1} \u7684\u6620\u5c04\u3002\u57fa\u672c\u601d\u8def\u662f\uff0c\u6211\u4eec\u9996\u5148\u5c06 x_t \u4f5c\u4e3a\u8282\u70b9\u7684\u8f93\u5165\u7279\u5f81\uff0c\u5c06 x_{t+1} \u770b\u4f5c\u662f\u6211\u4eec\u8981\u5b66\u4e60\u7684 target\u3002\u5229\u7528\u56fe\u7f51\u7edc\u5c06 x_t \u8f6c\u6362\u4e3a\u5bf9 x_{t+1} \u7684\u9884\u6d4b\uff0c\u8fd9\u4e2a\u8f6c\u6362\u8fc7\u7a0b\u4e00\u822c\u53ef\u4ee5\u5206\u4e3a\u4ece\u8282\u70b9\u5230\u8fde\u8fb9\uff0c\u518d\u4ece\u8fde\u8fb9\u6c47\u96c6\u5230\u8282\u70b9\u8fd9\u6837\u7684\u8fc7\u7a0b\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\"><br  \/><\/span><img data-ratio=\"0.32060185185185186\"  data-type=\"png\" data-w=\"864\" style=\"left: 349px;width: 698px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-4cf938eb2b20cd847d7ea7336f1a74c0.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\"><strong><span style=\"color: rgb(136, 136, 136);text-align: justify;\">\u56fe11\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u89e3\u51b3\u52a8\u529b\u5b66\u9884\u6d4b\u7684\u67b6\u6784<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u5c31\u662f\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u89e3\u51b3\u52a8\u529b\u5b66\u5b66\u4e60\u7684\u4e00\u4e2a\u7ecf\u5178\u4f5c\u54c1\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"111\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Graph networks as learnable physics engines for inference and control<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1806.01242<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.43308746048472074\" data-s=\"300,640\"  data-type=\"png\" data-w=\"949\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-2d33b1a5495113a15e4031398fdd91f3.png\"  \/><\/section>\n<p style=\"text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/955?from=wechat<\/span><\/strong><\/span><br  \/><\/p>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd8\u53ef\u4ee5\u6839\u636e\u5df2\u77e5\u7684\u7269\u7406\u7ea6\u675f\uff0c\u518d\u6765\u5b66\u4e60\u80cc\u540e\u7684\u52a8\u529b\u5b66\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"89\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Differentiable Physics-informed Graph Networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1902.02950<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7c7b\u63a8\u65ad\u52a8\u529b\u5b66\u7684\u5de5\u4f5c\u5f88\u591a\uff0c\u5e76\u5df2\u7ecf\u5e94\u5230\u4e86\u5f88\u591a\u5b9e\u9645\u95ee\u9898\u4e2d\uff0c\u4f8b\u5982\uff0c\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5\u6765\u9884\u6d4b\u4ea4\u901a\u6d41\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"96\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">GMAN: A Graph Multi-Attention Network for Traffic Prediction<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1911.08415<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.41140529531568226\" data-s=\"300,640\"  data-type=\"png\" data-w=\"982\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-b9e3a50d0060c58c9d23d6949423f31a.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"font-size: 13px;\"><strong><span style=\"font-size: 13px;font-family: &quot;Microsoft YaHei&quot;, &quot;PingFang SC&quot;, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Noto Sans&quot;, Tahoma, Arial, simsun, sans-serif;text-align: center;background-color: rgb(255, 255, 255);color: rgb(136, 136, 136);\">https:\/\/campus.swarma.org\/course\/1130?from=wechat<\/span><\/strong><\/span><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><br  \/><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u9884\u6d4b\u7f51\u7ea6\u8f66\u6570\u91cf\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/www-scf.usc.edu\/~yaguang\/papers\/aaai19_multi_graph_convolution.pdf<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.43308746048472074\" data-s=\"300,640\"  data-type=\"png\" data-w=\"949\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-2d33b1a5495113a15e4031398fdd91f3.png\"  \/><\/section>\n<p style=\"white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-size: 13px;\">https:\/\/campus.swarma.org\/course\/955?from=wechat<\/span><\/strong><\/span><\/p>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd8\u6709\u96fe\u973e\u9884\u62a5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"124\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/2002.12898<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.46319365798414497\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-dc125526d4fb8d63b03d4369b945f3a6.png\"  \/><\/section>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-family: &quot;Microsoft YaHei&quot;, &quot;PingFang SC&quot;, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Noto Sans&quot;, Tahoma, Arial, simsun, sans-serif;background-color: rgb(255, 255, 255);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1573?from=wechat<\/span><\/strong><\/span><\/p>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4f46\u662f\uff0c\u4e0a\u9762\u4ecb\u7ecd\u7684\u5de5\u4f5c\u5b58\u5728\u7740\u4e00\u4e2a\u6700\u5927\u7684\u5f0a\u7aef\uff0c\u5c31\u662f\u56fe\u7ed3\u6784\u9700\u8981\u5b9e\u73b0\u7ed9\u5b9a\u7684\uff0c\u4f46\u5728\u5f88\u591a\u65f6\u5019\uff0c\u7f51\u7edc\u7ed3\u6784\u90fd\u4e0d\u80fd\u4e8b\u5148\u7ed9\u5b9a\u3002\u80fd\u4e0d\u80fd\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u76f4\u63a5\u5c06\u7f51\u7edc\u7ed3\u6784\u548c\u52a8\u529b\u5b66\u4e00\u8d77\u91cd\u6784\u5462\uff1f\u4e0b\u9762\u7684\u8fd9\u7bc7 Neural Relational Inference\uff08NRI\uff09\u7684\u6587\u7ae0\u5c31\u5bf9\u8fd9\u4e00\u95ee\u9898\u8fdb\u884c\u4e86\u89e3\u51b3\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"94\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Neural Relational Inference for Interacting Systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1802.04687<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5b83\u5c06\u53d8\u5206\u81ea\u7f16\u7801\u5668\u67b6\u6784\u8fdb\u884c\u4e86\u6539\u9020\uff0c\u5229\u7528\u7f16\u7801\u5668\u751f\u6210\u63a8\u65ad\u7684\u56fe\u7ed3\u6784\uff0c\u89e3\u7801\u5668\u5219\u5229\u7528\u56fe\u7ed3\u6784\u6765\u63a8\u65ad\u52a8\u529b\u5b66\uff0c\u5176\u67b6\u6784\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/span><\/p>\n<p><span style=\"color: rgb(46, 49, 53);font-family: &quot;Microsoft YaHei&quot;;font-size: 14px;text-align: start;background-color: rgb(255, 255, 255);\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.2777142857142857\"  data-type=\"png\" data-w=\"1750\" style=\"left: 349px;width: 698px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-82c647e64f6d7c9bcd5ee3177f565cf1.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe12\uff1aNRI\u7ed3\u6784\u793a\u610f\u56fe<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7136\u800c\uff0cNRI \u7684\u7cfb\u7edf\u6bd4\u8f83\u5e9e\u5927\uff0c\u4ece\u800c\u5bfc\u81f4\u8bad\u7ec3\u6548\u679c\u4e5f\u4e0d\u662f\u5f88\u597d\uff0c\u5b83\u53ea\u80fd\u5728\u6bd4\u8f83\u5c0f\u89c4\u6a21\u7684\u7f51\u7edc\u4e0a\u3002\u6211\u4eec\u5bf9 NRI \u67b6\u6784\u505a\u4e86\u6539\u52a8\uff0c\u5c06\u7f16\u7801\u5668\u6539\u9020\u6210\u4e86\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u7f51\u7edc\u751f\u6210\u5668\uff0c\u5e76\u7528 Gumbel softmax \u673a\u5236\u751f\u6210\u7f51\u7edc\uff0c\u6a21\u578b\u79f0\u4e3a Gumbel Graph Network\uff08\u7b80\u79f0\uff1aGGN\uff09\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A general deep learning framework for network reconstruction and dynamics learning<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/appliednetsci.springeropen.com\/articles\/10.1007\/s41109-019-0194-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5176\u67b6\u6784\u5982\u4e0b\u56fe\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><img data-ratio=\"0.5901060070671378\"  data-type=\"png\" data-w=\"1415\" style=\"left: 349px;width: 488px;height: 288px;\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-aac4b58daa457b40654ead0f0f482192.png\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 13px;\"><strong><span style=\"text-align: justify;color: rgb(136, 136, 136);\">\u56fe13\uff1aGGN\u67b6\u6784\u793a\u610f\u56fe<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;text-align: justify;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8be5\u67b6\u6784\u53ef\u4ee5\u5728\u79bb\u6563\u3001\u8fde\u7eed\u4ee5\u53ca\u5e03\u5c14\u7b49\u4e0d\u540c\u7c7b\u578b\u7684\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784\u4e2d\u90fd\u53d6\u5f97\u5f88\u597d\u7684\u6548\u679c\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u53e6\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u5c06\u4e0d\u540c\u7684\u7ea6\u675f\uff0c\u5305\u62ec\u7f51\u7edc\u7a00\u758f\u6027\u3001\u5ea6\u5206\u5e03\u7b49\u7279\u6027\u5f15\u5165\u5230\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u6846\u67b6\u4e2d\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5e2e\u52a9\u6211\u4eec\u5bf9\u7cfb\u7edf\u8fdb\u884c\u91cd\u6784\uff0c\u4f8b\u5982\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"111\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Structure-informed Graph Auto-encoder for Relational Inference<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/graphreason.github.io\/papers\/22.pdf<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u4e09\u7bc7\u6587\u7ae0\u5219\u7528\u7c7b\u4f3c\u7684\u67b6\u6784\u5728\u5177\u6709\u90e8\u5206\u89c2\u6d4b\u8282\u70b9\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u5b66\u4e60\u548c\u9884\u6d4b\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"161\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Neural Relational Inference with Fast Modular Meta-learning<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/papers.nips.cc\/paper\/9353-neural-relational-inference-with-fast-modular-meta-learning.pdf<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.4527027027027027\" data-s=\"300,640\"  data-type=\"png\" data-w=\"888\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-1cfba27639758ce49e4fdcfdbd50e487.png\"  \/><\/section>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1053?from=wechat<\/span><\/strong><\/span><br  \/><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"120\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/2001.06576<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u5219\u8ba8\u8bba\u4e86\u5728\u5177\u6709\u90e8\u5206\u89c2\u6d4b\u8282\u70b9\u4e0b\u8fdb\u884c\u52a8\u529b\u5b66\u9884\u6d4b\u7684\u95ee\u9898<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"95\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Learning Dynamical Systems from Partial Observations<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1902.11136<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u4e86\u8fd9\u79cd\u7f51\u7edc\u7ed3\u6784\u7684\u5b66\u4e60\uff0c\u4eba\u4eec\u4e0d\u4ec5\u80fd\u591f\u8fdb\u884c\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784\uff0c\u4e5f\u80fd\u591f\u6539\u8fdb\u8bf8\u5982\u8282\u70b9\u5206\u7c7b\u7b49\u4f20\u7edf\u7684\u56fe\u7f51\u7edc\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"91\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Learning discrete structures for graph neural networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1903.11960<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u628a\u63e1\u5904\u4e8e\u53d8\u5316\u4e4b\u4e2d\u7684\u7f51\u7edc\u7ed3\u6784\u3002\u4f8b\u5982\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5c31\u5229\u7528 Transformer \u4e2d\u7684\u81ea\u6ce8\u610f\u529b\u673a\u5236\u6765\u628a\u63e1\u52a8\u6001\u8fde\u8fb9\uff0c\u5e76\u9488\u5bf9\u5143\u80de\u81ea\u52a8\u673a\u3001\u9e1f\u7fa4\u6a21\u578b\u7b49\u7ecf\u5178\u7684\u590d\u6742\u7cfb\u7edf\u6a21\u578b\u8fdb\u884c\u91cd\u6784\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"141\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/2001.02539<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;\"><img class=\"rich_pages\" data-ratio=\"0.34459459459459457\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1184\" style=\"\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-8bde886efb6044513652a2774ab693cf.png\"  \/><\/section>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1109?from=wechat<\/span><\/strong><\/span><\/p>\n<p><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"clear: both;min-height: 1em;border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u57fa\u4e8e\u6a21\u578b\u7684\u65b9\u6cd5<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0a\u9762\u4ecb\u7ecd\u7684\u5404\u79cd\u65b9\u6cd5\u90fd\u662f\u901a\u7528\u7684\uff0c\u5b83\u4eec\u5e76\u4e0d\u4f9d\u8d56\u4e8e\u5f85\u5efa\u6a21\u7cfb\u7edf\u7684\u5177\u4f53\u6a21\u578b\u3002\u4e0b\u9762\u4ecb\u7ecd\u7684\u4e00\u7cfb\u5217\u65b9\u6cd5\u5219\u9700\u8981\u5229\u7528\u7cfb\u7edf\u7684\u5177\u4f53\u6a21\u578b\uff0c\u5e76\u5728\u7ed9\u5b9a\u6a21\u578b\u7684\u57fa\u7840\u4e0a\u6765\u5bf9\u7f51\u7edc\u6216\u52a8\u529b\u5b66\u8fdb\u884c\u91cd\u6784\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4f8b\u5982\uff0c\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u6839\u636e\u7f51\u7edc\u4f20\u64ad\u6a21\u578b\u6765\u8fdb\u884c\u7f51\u7edc\u7ed3\u6784\u7684\u63a8\u65ad\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"179\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">A statistical inference approach to structural reconstruction of complex networks from binary time series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.97.022301<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><img class=\"rich_pages\" data-ratio=\"0.46673706441393875\" data-s=\"300,640\"  data-type=\"png\" data-w=\"947\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-54bef803475f130dc9d0a62a3a865722.png\"  \/><\/strong><\/span><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><strong style=\"color: rgb(136, 136, 136);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1601?from=wechat<\/strong><\/strong><\/span><\/section>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u57fa\u4e8e SIS \u6a21\u578b\u91cd\u6784\u591a\u91cd\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"98\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Data Based Reconstruction of Duplex Networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/epubs.siam.org\/doi\/abs\/10.1137\/19M1254040<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5219\u901a\u8fc7 ISING \u6a21\u578b\u6765\u91cd\u6784\u7b26\u53f7\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"101\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstructing signed networks via Ising dynamics<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/pubmed.ncbi.nlm.nih.gov\/30599526\/<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u7684\u6587\u7ae0\u5728\u7ebf\u6027\u5316\u5047\u8bbe\u7684\u524d\u63d0\u4e0b\u5229\u7528\u8d1d\u53f6\u65af\u65b9\u6cd5\u91cd\u6784\u751f\u7269\u7f51\u7edc\uff0c\u5e76\u7ed9\u51fa\u901a\u7528\u7684\u89e3\u6cd5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"83\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Network Inference and Biological Dynamics<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/1112.1047<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u4f20\u64ad\u6a21\u578b\u548c\u8d1d\u53f6\u65af\u65b9\u6cd5\u8fdb\u884c\u7f51\u7edc\u8865\u5168\u7684\u7814\u7a76\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"107\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Hidden network reconstruction from information diffusion<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/ieeexplore.ieee.org\/document\/7266560<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u901a\u5e38\u7684\u7f51\u7edc\u91cd\u6784\u5de5\u4f5c\u90fd\u9700\u8981\u5229\u7528\u8282\u70b9\u7684\u65f6\u95f4\u5e8f\u5217\u6765\u91cd\u6784\u6574\u4e2a\u7f51\u7edc\u7ed3\u6784\uff0c\u800c\u4e0b\u9762\u7684\u8fd9\u7bc7\u6587\u7ae0\u8ba8\u8bba\u4e86\u4e00\u4e2d\u4ec5\u6839\u636e\u8282\u70b9\u7684\u72b6\u6001\uff0c\u800c\u4e0d\u9700\u8981\u7528\u5230\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5c31\u53ef\u4ee5\u91cd\u6784\u7f51\u7edc\u7684\u65b9\u6cd5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"121\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstructing complex networks without time series<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.96.022320<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5728\u4e00\u79cd\u8109\u51b2\u8026\u5408\u534f\u632f\u5b50\u6a21\u578b\u7684\u57fa\u7840\u4e0a\u6765\u8ba8\u8bba\u7f51\u7edc\u7684\u91cd\u6784\u3002\u8be5\u65b9\u6cd5\u53ef\u4ee5\u6839\u636e\u8109\u51b2\u7c7b\u578b\u7684\u4fe1\u53f7\uff0c\u4ece\u800c\u91cd\u5efa\u51fa\u539f\u59cb\u7684\u7f51\u7edc\u7ed3\u6784\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"145\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstructing networks of pulse-coupled oscillators from spike trains<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.96.012209<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" data-mid=\"\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"clear: both;min-height: 1em;border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u5e94\u7528<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u52a8\u529b\u7cfb\u7edf\u3001\u7f51\u7edc\u91cd\u6784\u662f\u5c5e\u4e8e\u4e00\u79cd\u8de8\u5b66\u79d1\u7684\u7814\u7a76\u9886\u57df\uff0c\u5b83\u7684\u65b9\u6cd5\u81ea\u7136\u4e5f\u53ef\u4ee5\u6269\u5c55\u5230\u5404\u4e2a\u5b66\u79d1\u4e4b\u4e2d\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c31\u5206\u51e0\u4e2a\u9886\u57df\u6765\u5206\u522b\u4ecb\u7ecd\u8fd9\u4e9b\u5e94\u7528\u7684\u60c5\u51b5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\">\u7ecf\u6d4e\u9886\u57df<\/span><\/strong><\/h3>\n<p><strong><span style=\"font-size: 16px;color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7f51\u7edc\u91cd\u6784\u5728\u7ecf\u6d4e\u3001\u91d1\u878d\u9886\u57df\u7684\u5e94\u7528\u53ef\u4ee5\u7b97\u4e00\u4e2a\u7ecf\u5178\u7684\u573a\u666f\uff0c\u7136\u800c\uff0c\u8fd9\u90e8\u5206\u7684\u7814\u7a76\u5927\u591a\u5173\u6ce8\u7684\u662f\u7f51\u7edc\u7684\u5e94\u7528\uff0c\u5305\u62ec\u793e\u533a\u5212\u5206\u3001\u98ce\u9669\u6269\u6563\u3001\u98ce\u9669\u9884\u8b66\u7b49\uff0c\u800c\u5e76\u4e0d\u592a\u5173\u5fc3\u91cd\u6784\u7f51\u7edc\u7684\u8d28\u91cf\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u7ecf\u6d4e\u3001\u91d1\u878d\u9886\u57df\u4e2d\u7684\u7f51\u7edc\u91cd\u6784\u5de5\u4f5c\u8fdb\u884c\u4e86\u5f88\u597d\u7684\u7efc\u8ff0\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"159\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstruction methods for networks: The case of economic and financial systems<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0370157318301509?via=ihub<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7136\u800c\uff0c\u8fd9\u7bc7\u6587\u7ae0\u8ba8\u8bba\u7684\u7f51\u7edc\u91cd\u6784\u4e0e\u4e0a\u9762\u8ba8\u8bba\u7684\u5404\u7c7b\u7f51\u7edc\u91cd\u6784\u65b9\u6cd5\u5177\u6709\u5f88\u5927\u7684\u533a\u522b\uff0c\u5b83\u5e76\u6ca1\u6709\u6d89\u53ca\u65f6\u95f4\u5e8f\u5217\u548c\u52a8\u529b\u5b66\uff0c\u800c\u66f4\u591a\u5730\u662f\u5728\u5229\u7528\u6700\u5927\u71b5\u65b9\u6cd5\u6765\u5bf9\u7f51\u7edc\u8fdb\u884c\u91cd\u6784\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u8ba8\u8bba\u4e86\u5728\u91cd\u6784\u7684\u7f51\u7edc\u4e0a\u8fdb\u884c\u98ce\u9669\u4f20\u64ad\u7684\u53ef\u80fd\u60c5\u666f\uff1b<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"128\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Spread of risk across financial markets: better to invest in the peripheries<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/srep01665<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u9996\u5148\u5229\u7528\u6700\u5927\u71b5\u8fd9\u79cd\u5bc6\u96c6\u8054\u7cfb\u7684\u7f51\u7edc\u91cd\u6784\u65b9\u6cd5\u91cd\u6784\u4e86\u91d1\u878d\u673a\u6784\u4e4b\u95f4\u7684\u7f51\u7edc\uff0c\u5e76\u5728\u8fd9\u4e2a\u7f51\u7edc\u4e4b\u4e0a\u63a2\u8ba8\u4e86\u7cfb\u7edf\u6027\u98ce\u9669\u7b49\u95ee\u9898\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"115\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Systemic risk analysis on reconstructed economic and financial networks<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/srep15758<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8fd9\u7bc7\u6587\u7ae0\u8fd0\u7528\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u6784\u5efa\u4e86\u94f6\u884c\u95f4\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"108\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Estimating global bank network connectedness&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jae.2585<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong>\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u4e0e\u751f\u7269\u5b66<\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><strong><br  \/><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u86cb\u767d\u8d28\uff08Protein\uff09\u662f\u751f\u547d\u6d3b\u52a8\u7684\u4e3b\u8981\u6267\u884c\u5355\u4f4d,\uff0c\u4e0d\u540c\u7684\u86cb\u767d\u8d28\u53c2\u4e0e\u4e0d\u540c\u7684\u751f\u5316\u8fc7\u7a0b\u3002\u751f\u7269\u4f53\u5185\u6267\u884c\u4e0d\u540c\u529f\u80fd\u7684\u7ec6\u80de\u4f1a\u8868\u8fbe\u4e0d\u540c\u79cd\u7c7b\u7684\u86cb\u767d\u8d28\u3002\u86cb\u767d\u8d28\u7684\u8868\u8fbe\u53d7\u5230\u8f6c\u5f55\u56e0\u5b50\uff08Transcription factors, TF\uff09\u7279\u5f02\u6027\u5730\u8c03\u63a7\u3002\u8f6c\u5f55\u56e0\u5b50\u901a\u8fc7\u4e92\u76f8\u8c03\u8282\uff0c\u4ee5\u53ca\u8c03\u63a7\u4e0b\u6e38\u7684\u6548\u5e94\u57fa\u56e0\uff0c\u8fdb\u800c\u6784\u6210\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\uff08Gene Regulatory Network\uff0cGRN\uff09\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u5728\u7ec6\u80de\u53d1\u80b2\uff0c\u7ec6\u80de\u5206\u5316\u72b6\u6001\u786e\u5b9a\u65b9\u9762\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\u3002\u91cd\u6784\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u662f\u63ed\u793a\u751f\u7269\u4f53\u590d\u6742\u6027\u7684\u5173\u952e\u4e00\u6b65\uff0c\u4e5f\u662f\u7814\u7a76\u7684\u70ed\u70b9\u3002\u91cd\u6784\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u53ef\u4ee5\u901a\u8fc7\u5b9e\u9a8c\u7684\u65b9\u6cd5\uff0c\u4f8b\u5982\u63a2\u6d4b\u8f6c\u5f55\u56e0\u5b50\u5728\u57fa\u56e0\u7ec4\u4e0a\u7684\u7ed3\u5408\u4f4d\u70b9\uff0c\u6765\u5b9e\u73b0\u3002\u540c\u65f6\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u7684\u65b9\u6cd5\u4ece\u57fa\u56e0\u8868\u8fbe\u6570\u636e\u4e2d\u63a8\u6d4b\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u7684\u7ed3\u6784\u3002\u5e38\u7528\u7684\u91cd\u6784\u7b97\u6cd5\u901a\u5e38\u5229\u7528\u57fa\u56e0\u8868\u8fbe\u4e4b\u95f4\u76f8\u5173\u6027\uff0c\u4e92\u4fe1\u606f\uff0c\u4ee5\u53ca\u9ad8\u65af\u56fe\u6a21\u578b\uff0c\u56de\u5f52\u6a21\u578b\uff0c\u8d1d\u53f6\u65af\u6a21\u578b\u7b49\u7b49\u6765\u63a8\u65ad\u7f51\u7edc\u7684\u7ed3\u6784\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5f88\u591a\u65b9\u6cd5\u53ea\u662f\u9488\u5bf9\u8c03\u63a7\u7f51\u7edc\u7ed3\u6784\u7684\u91cd\u5efa\uff0c\u5e76\u4e0d\u6d89\u53ca\u5230\u57fa\u56e0\u8868\u8fbe\u53d8\u5316\u7684\u52a8\u529b\u5b66\uff08Dynamics\uff09\u3002\u4e86\u89e3\u57fa\u56e0\u8868\u8fbe\u53d8\u5316\u7684\u52a8\u529b\u5b66\uff0c\u53ef\u4ee5\u9884\u6d4b\u7ec6\u80de\u72b6\u6001\u5730\u8f6c\u53d8\uff0c\u66f4\u597d\u5730\u523b\u753b\u7ec6\u80de\u72b6\u6001\u8f6c\u6362\u8f68\u8ff9\uff08Cell Trajectory\uff09\uff0c\u8fdb\u4e00\u6b65\u4e3a\u5408\u6210\u751f\u7269\u5b66\uff08Synthetic Biology\uff09\u7684\u53d1\u5c55\uff0c\u5982\u57fa\u56e0\u56de\u8def\uff08Gene Circuit\uff09\u8bbe\u8ba1\uff0c\u63d0\u4f9b\u5e2e\u52a9\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u65b0\u7684\u7f51\u7edc\u91cd\u6784\u548c\u52a8\u529b\u5b66\u9884\u6d4b\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u53d1\u8868\u5728 Nature Methods \u4e0a\u9762\u7684\u4e00\u7bc7\u5bf9\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u8fdb\u884c\u91cd\u6784\u7684\u6587\u7ae0\uff0c\u7cfb\u7edf\u5730\u6bd4\u8f83\u4e86\u4e0d\u540c\u57fa\u56e0\u91cd\u6784\u7684\u65b9\u6cd5\uff0c\u5e76\u7efc\u5408\u8ba8\u8bba\u4e86\u8bc4\u4ef7\u91cd\u6784\u8d28\u91cf\u7684\u6307\u6807\u3002\u5728\u7b2c\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u4f5c\u8005\u4e13\u95e8\u63d0\u51fa\u4e86\u4e00\u79cd\u80fd\u591f\u6a21\u62df\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u4e2d\u7684\u5e03\u5c14\u52a8\u529b\u5b66\u7684\u5fae\u5206\u52a8\u529b\u5b66\u6a21\u578b\uff1aBoolODE: converting Boolean models to ODEs\uff0c\u7136\u540e\u7528\u5b83\u4f5c\u4e3a\u8bd5\u91d1\u77f3\u6765\u8bc4\u5224\u3001\u6bd4\u8f83\u4e0d\u540c\u7684\u57fa\u56e0\u7f51\u7edc\u91cd\u6784\u7b97\u6cd5\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u5b83\u8fd8\u751f\u6210\u4e86\u4e00\u7cfb\u5217\u6570\u636e\u96c6\uff0c\u65b9\u4fbf\u4f5c\u4e3a Benchmark \u6765\u4f7f\u7528\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"159\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/s41592-019-0690-6<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u4e5f\u662f\u53d1\u8868\u5728 Nature Methods \u4e0a\u7684\u4e00\u4e2a\u8f83\u65e9\u7684\u6587\u7ae0\u3002\u4f5c\u8005\u5219\u6bd4\u8f83\u597d\u5730\u5bf9\u5404\u79cd\u91cd\u6784\u65b9\u6cd5\u8fdb\u884c\u4e86\u5f52\u7c7b\u548c\u6bd4\u8f83\u3002\u7279\u522b\u662f\uff0c\u4f5c\u8005\u8be6\u7ec6\u5730\u5206\u6790\u4e86\u91cd\u6784\u7f51\u7edc\u4e2d\u7684\u5404\u79cd\u6a21\u4f53\uff08Motif\uff09\uff0c\u4ee5\u53ca\u89c2\u5bdf\u4e0d\u540c\u91cd\u6784\u65b9\u6cd5\u66f4\u503e\u5411\u4e8e\u5b9e\u73b0\u4f55\u79cd\u6a21\u62df\u3002<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"96\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Wisdom of crowds for robust gene network inference<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.nature.com\/articles\/nmeth.2016<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\">\u5927\u8111\u7f51\u7edc<\/span><\/strong><\/span><\/h3>\n<p><span style=\"font-size: 16px;\"><strong><span style=\"color: rgb(123, 12, 0);\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5927\u8111\u662f\u4e00\u4e2a\u5178\u578b\u7684\u7531\u5927\u91cf\u76f8\u4e92\u4f5c\u7528\u5355\u5143\u6784\u6210\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u901a\u8fc7\u89c2\u5bdf\u5927\u8111\u7684\u90e8\u5206\u8fd0\u884c\u6570\u636e\u6765\u91cd\u6784\u5927\u8111\u4e2d\u7684\u7f51\u7edc\u5219\u662f\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u5927\u8111\u7ed3\u6784\u7684\u91cd\u8981\u4e00\u73af\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5f53\u6211\u4eec\u8c08\u53ca\u5927\u8111\u7f51\u7edc\u7684\u94fe\u63a5\u7684\u65f6\u5019\uff0c\u5b9e\u9645\u4e0a\u4f1a\u6d89\u53ca\u51e0\u79cd\u4e0d\u540c\u7684\u94fe\u63a5\u6982\u5ff5\uff0c\u5b83\u4eec\u5206\u522b\u662f\u7ed3\u6784\u94fe\u63a5\uff08Structual connectivity\uff09\u3001\u529f\u80fd\u94fe\u63a5\uff08Functional connectivity\uff09\u548c\u6709\u6548\u94fe\u63a5\uff08Effective connectivity\uff09\u3002\u8fd9\u4e00\u6982\u5ff5\u6700\u65e9\u6765\u6e90\u4e8e\u529f\u80fd\u795e\u7ecf\u6210\u50cf\uff08Functional neuroimaging\uff09\u6280\u672f\u4e2d\uff0c\u4f46\u4e5f\u540c\u6837\u53ef\u4ee5\u7528\u4e8e\u5176\u5b83\u5c42\u7ea7\u7ec4\u7ec7\u7684\u795e\u7ecf\u7f51\u7edc\u4e4b\u4e2d\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7ed3\u6784\u94fe\u63a5\u901a\u5e38\u662f\u6307\u7269\u7406\u4e0a\u5b9e\u9645\u5b58\u5728\u7684\u6216\u80fd\u591f\u94fe\u63a5\u4e00\u7ec4\u795e\u7ecf\u5143\u6216\u5176\u5b83\u795e\u7ecf\u8981\u7d20\u7684\u7a81\u89e6\u94fe\u63a5\uff0c\u4ee5\u53ca\u8fd9\u4e9b\u94fe\u63a5\u4e2d\u5305\u542b\u7684\u76f8\u5173\u751f\u7269\u7269\u7406\u5c5e\u6027\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u529f\u80fd\u94fe\u63a5\u901a\u5e38\u60c5\u51b5\u4e0b\u5219\u662f\u4e00\u4e2a\u7edf\u8ba1\u610f\u4e49\u4e0a\u7684\u6982\u5ff5\u3002\u4e00\u822c\u7684\uff0c\u529f\u80fd\u94fe\u63a5\u80fd\u591f\u6355\u6349\u5230\u795e\u7ecf\u5355\u5143\u5728\u7edf\u8ba1\u610f\u4e49\u4e0a\u7684\u76f8\u4e92\u5173\u8054\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u6548\u94fe\u63a5\u5219\u53ef\u4ee5\u770b\u4f5c\u662f\u7ed3\u6784\u4e0e\u529f\u80fd\u94fe\u63a5\u7684\u5e76\u96c6\uff0c\u5b83\u63cf\u8ff0\u4e86\u4e00\u4e2a\u795e\u7ecf\u5355\u5143\u5230\u53e6\u4e00\u4e2a\u5355\u5143\u7684\u76f4\u63a5\u6548\u5e94\u3002\u539f\u5219\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u4e00\u4e9b\u56e0\u679c\u63a8\u65ad\u7684\u65b9\u5f0f\u63a8\u6d4b\u51fa\u8fd9\u6837\u7684\u6709\u6548\u94fe\u63a5\uff0c\u4f8b\u5982\u524d\u9762\u4ecb\u7ecd\u7684\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u4ee5\u53ca\u4f20\u8f93\u71b5\u7b49\u65b9\u6cd5\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5173\u4e8e\u5927\u8111\u7f51\u7edc\u94fe\u63a5\u7684\u66f4\u8be6\u7ec6\u8ba8\u8bba\uff0c\u8bf7\u53c2\u770b\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">scholarpedia\u4e0a\u7684\u8bcd\u6761\uff1a<\/span><\/p>\n<blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">http:\/\/www.scholarpedia.org\/article\/Brain_connectivity<\/span><\/p>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u5927\u8111\u529f\u80fd\u7f51\u7edc\u8fdb\u884c\u4e86\u7efc\u8ff0\uff0c\u5305\u62ec\u5982\u4f55\u4ece\u6b64\u529f\u80fd\u6210\u50cf\u4e2d\u6784\u5efa\u51fa\u8fd9\u4e00\u7f51\u7edc\uff0c\u4ee5\u53ca\u8fd9\u4e00\u7f51\u7edc\u7684\u62d3\u6251\u6027\u8d28\u7b49\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"161\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Exploring the brain network: a review on resting-state fMRI functional connectivity<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0924977X10000684<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u8d1d\u53f6\u65af\u7f51\u7edc\u7684\u65b9\u6cd5\u91cd\u6784\u79c0\u4e3d\u7ebf\u866b\u7684\u529f\u80fd\u8111\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"187\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/royalsocietypublishing.org\/doi\/full\/10.1098\/rstb.2017.0377<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e5f\u6709\u4e0d\u5c11\u6587\u732e\u805a\u7126\u5728\u5927\u8111\u6709\u6548\u94fe\u63a5\u7684\u91cd\u6784\u4e0a\u3002\u4f8b\u5982\uff0c\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u76f4\u63a5\u6839\u636e\u8111\u5f71\u50cf\u4fe1\u53f7\uff08fMRI\uff09\uff0c\u5229\u7528\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u6280\u672f\u91cd\u6784\u51fa\u5927\u8111\u5185\u90e8\u76f8\u4e92\u4f5c\u7528\u7684\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"146\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Mapping directed influence over the brain using Granger causality and fMRI&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1053811904006688<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528 Transfer entropy \u7684\u65b9\u6cd5\u8ba8\u8bba\u4e86\u795e\u7ecf\u7cfb\u7edf\u4e2d\u7684\u6709\u6548\u8fde\u63a5\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"128\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Transfer entropy\u2014a model-free measure of effective connectivity for the neurosciences<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/pubmed.ncbi.nlm.nih.gov\/20706781\/<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u53d1\u653e\u7684\u65f6\u95f4\u5e8f\u5217\u91cd\u6784\u795e\u7ecf\u7f51\u7edc\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"133\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Reconstruction of a neural network from a time series of firing rates&nbsp;<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.93.062313<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"color: rgb(123, 12, 0);\"><strong><span style=\"color: rgb(123, 12, 0);font-size: 16px;\">\u6c14\u5019\u4e0e\u5929\u6c14\u7cfb\u7edf<\/span><\/strong><\/span><\/h3>\n<p><span style=\"color: rgb(123, 12, 0);\"><strong><span style=\"color: rgb(123, 12, 0);font-size: 16px;\"><br  \/><\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u968f\u7740\u5168\u7403\u53d8\u6696\u7684\u8d8b\u52bf\u8fdb\u4e00\u6b65\u52a0\u5f3a\uff0c\u6c14\u5019\u7cfb\u7edf\u5df2\u7ecf\u6210\u4e3a\u4e86\u4eba\u4eec\u666e\u904d\u5173\u6ce8\u7684\u7126\u70b9\u3002\u7406\u89e3\u6c14\u5019\u8fd0\u4f5c\u80cc\u540e\u7684\u57fa\u672c\u89c4\u5f8b\u662f\u5904\u7406\u5168\u7403\u53d8\u6696\u95ee\u9898\u7684\u91cd\u8981\u73af\u8282\u3002\u5229\u7528\u52a8\u529b\u5b66\u4e0e\u7f51\u7edc\u91cd\u6784\u6280\u672f\u6765\u5206\u6790\u5927\u89c4\u6a21\u6c14\u5019\u7cfb\u7edf\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5219\u6709\u671b\u6355\u6349\u5230\u6c14\u5019\u7cfb\u7edf\u7684\u76f8\u4e92\u5f71\u50cf\u89c4\u5f8b\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0e\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u7f51\u7edc\uff0c\u6c14\u5019\u7f51\u7edc\u7684\u8282\u70b9\u5e76\u975e\u5b9e\u4f53\uff0c\u800c\u662f\u6c14\u8c61\u89c2\u6d4b\u683c\u70b9\uff0c\u56e0\u6b64\uff0c\u5b83\u53ef\u4ee5\u56e0\u7a7a\u95f4\u5206\u8fa8\u7387\u800c\u53d8\u5316\u3002\u4e24\u4e2a\u8282\u70b9\u5982\u679c\u5b83\u4eec\u7684\u65f6\u95f4\u5e8f\u5217\u5177\u6709\u4e00\u5b9a\u7684\u7edf\u8ba1\u76f8\u4f3c\u6027\uff0c\u5c31\u628a\u5b83\u4eec\u94fe\u63a5\u4e0a\u8fb9\u3002\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6c14\u5019\u7f51\u7edc\u6765\u8ba8\u8bba\u6c14\u5019\u7cfb\u7edf\u5728\u4e0d\u540c\u7a7a\u95f4\u3001\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u7684\u52a8\u529b\u5b66\u7279\u6027\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6700\u65e9\u7528\u590d\u6742\u7f51\u7edc\u7814\u7a76\u6c14\u5019\u7cfb\u7edf\u7684\u662f Tsonis \u7b49\u4eba\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"113\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">The architecture of the climate network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378437103009646<\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e4b\u540e\uff0cHavlin \u7b49\u4eba\u5229\u7528\u4ea4\u53c9\u76f8\u5173\uff0c\u5e76\u8003\u8651\u5230\u4e86\u4e0d\u540c\u65f6\u95f4\u7684\u5ef6\u8fdf\u7b49\u624b\u6bb5\u6784\u5efa\u4e86\u66f4\u4e3a\u7cbe\u786e\u7684\u6c14\u5019\u7f51\u7edc\u6a21\u578b\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"141\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Climate Networks around the Globe are Significantly Affected by El Ni\u00f1o<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.100.228501<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"147\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Emergence of El Ni\u00f1o as an Autonomous Component in the Climate Network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.107.14850<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5229\u7528\u6c14\u5019\u7f51\u7edc\u7684\u6027\u8d28\uff0c\u53ef\u4ee5\u8ba8\u8bba\u6c14\u5019\u7cfb\u7edf\u4e2d\u7684Rossby\u6ce2\u73b0\u8c61\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"126\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Dominant Imprint of Rossby Waves in the Climate Network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.111.138501<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u76f8\u5173\u7f51\u7edc\u7684\u65b9\u6cd5\u5206\u6790\u4e86\u6c14\u5019\u7cfb\u7edf\u7684\u9aa8\u67b6\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"101\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">The backbone of the climate network<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/iopscience.iop.org\/article\/10.1209\/0295-5075\/87\/48007<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u6709\u8da3\u7684\u662f\uff0c\u6c14\u5019\u7f51\u7edc\u5b58\u5728\u7740\u957f\u751f\u5173\u8054\u7684\u73b0\u8c61\uff0c\u4e5f\u5c31\u662f\u5730\u7406\u8ddd\u79bb\u76f8\u9694\u5f88\u8fdc\u7684\u4e24\u4e2a\u89c2\u6d4b\u6389\u53ef\u80fd\u5b58\u5728\u7740\u6bd4\u8f83\u5f3a\u7684\u76f8\u5173\u6027\uff0c\u8fd9\u5728\u6c14\u5019\u7f51\u7edc\u4e2d\u79f0\u4e3a\u201c\u8d85\u8ddd\u94fe\u63a5\u8def\u5f84\u201d\uff08Teleconnection Paths\uff09\u3002\u4e0b\u9762\u8fd9\u7bc7\u5c31\u8ba8\u8bba\u4e86\u5982\u4f55\u901a\u8fc7\u6c14\u5019\u7f51\u7edc\u7684\u8054\u7cfb\u63a2\u6d4b\u8fd9\u79cd\u8d85\u8ddd\u94fe\u63a5\u8def\u5f84\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"134\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Teleconnection Paths via Climate Network Direct Link Detection<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/journals.aps.org\/prl\/abstract\/10.1103\/PhysRevLett.115.268501<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u7136\u800c\uff0c\u8fd9\u4e9b\u6587\u7ae0\u7684\u8ba8\u8bba\u5927\u591a\u5c40\u9650\u5728\u5bf9\u76f8\u5173\u5173\u7cfb\u7684\u8ba8\u8bba\u3002\u4eba\u4eec\u8981\u60f3\u5f7b\u5e95\u7406\u89e3\u6c14\u5019\u7cfb\u7edf\u80cc\u540e\u7684\u76f8\u4e92\u4f5c\u7528\u673a\u5236\uff0c\u8fd8\u9700\u8981\u641e\u61c2\u5b83\u4eec\u80cc\u540e\u7684\u56e0\u679c\u8054\u7cfb\u3002\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5c31\u7528\u4e00\u79cd\u6240\u8c13\u7684 PCMCI \u7b97\u6cd5\uff0c\u5b83\u80fd\u591f\u6355\u6349\u5230\u6c14\u5019\u7cfb\u7edf\u80cc\u540e\u7684\u56e0\u679c\u8054\u7cfb\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"139\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Detecting and quantifying causal associations in large nonlinear time series datasets<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/advances.sciencemag.org\/content\/5\/11\/eaau4996<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.46319365798414497\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-dc125526d4fb8d63b03d4369b945f3a6.png\"  \/><\/section>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-family: &quot;Microsoft YaHei&quot;, &quot;PingFang SC&quot;, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Noto Sans&quot;, Tahoma, Arial, simsun, sans-serif;background-color: rgb(255, 255, 255);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1573?from=wechat<\/span><\/strong><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u66f4\u8fdb\u4e00\u6b65\uff0c\u5728\u83b7\u5f97\u4e86\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u4e4b\u540e\uff0c\u6211\u4eec\u8fd8\u5e0c\u671b\u5bf9\u6c14\u5019\u7cfb\u7edf\u7684\u8fd0\u884c\u8fdb\u884c\u9884\u6d4b\u3002\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5c31\u9488\u5bf9\u5384\u5c14\u5c3c\u8bfa\u73b0\u8c61\u8fdb\u884c\u4e86\u65e9\u671f\u7684\u9884\u8b66\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"92\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">Very early warning of next El Nino<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3926055\/<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u7b49\u673a\u5668\u5b66\u4e60\u6280\u672f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u505a\u5230\u66f4\u52a0\u5fae\u89c2\u800c\u7cbe\u51c6\u7684\u9884\u6d4b\uff0c\u4e0b\u9762\u8fd9\u7bc7\u6587\u7ae0\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5\u5728\u4e2d\u56fd\u4e1c\u4e0d\u5730\u533a\u8de8\u57ce\u5e02\u754c\u522b\u4e0a\uff0c\u5c1d\u8bd5\u5bf9 PM2.5 \u6d53\u5ea6\u503c\u8fdb\u884c\u9884\u6d4b\uff1a<\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"124\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">https:\/\/arxiv.org\/abs\/2002.12898<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p><br  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><img class=\"rich_pages\" data-ratio=\"0.46319365798414497\" data-s=\"300,640\"  data-type=\"png\" data-w=\"883\" src=\"\/wp-content\/uploads\/2020\/06\/wxsync-2020-06-dc125526d4fb8d63b03d4369b945f3a6.png\"  \/><\/section>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;\"><span style=\"color: rgb(136, 136, 136);\"><strong><span style=\"font-family: &quot;Microsoft YaHei&quot;, &quot;PingFang SC&quot;, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Noto Sans&quot;, Tahoma, Arial, simsun, sans-serif;background-color: rgb(255, 255, 255);font-size: 13px;\">https:\/\/campus.swarma.org\/course\/1573?from=wechat<\/span><\/strong><\/span><\/p>\n<p><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u603b\u4e4b\uff0c\u5c06\u7f51\u7edc\u91cd\u6784\u7684\u6280\u672f\u8fd0\u7528\u5728\u6c14\u5019\u9886\u57df\u5c1a\u662f\u4e00\u4e2a\u65b0\u5174\u7684\u9886\u57df\u3002\u5c3d\u7ba1\u76ee\u524d\u7edd\u5927\u90e8\u5206\u7684\u5de5\u4f5c\u4ecd\u7136\u662f\u5229\u7528\u76f8\u5173\u6027\u6765\u6784\u5efa\u7f51\u7edc\u7684\u7814\u7a76\u504f\u591a\uff0c\u4f46\u6211\u4eec\u671f\u5f85\u7740\u770b\u5230\u66f4\u591a\u8fd9\u65b9\u9762\u7684\u5e94\u7528\u3002<\/span><\/p>\n<h2 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\"><br mpa-from-tpl=\"t\"  \/><\/span><\/h2>\n<p><span style=\"font-size: 15px;\"><br  \/><\/span><\/p>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\">\n<section mpa-from-tpl=\"t\">\n<section style=\"margin-top: 20px;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\" data-mid=\"t1\" mpa-from-tpl=\"t\">\n<section data-preserve-color=\"t\" style=\"min-width: 200px;min-height: 40px;border-right: 2px solid rgb(230, 230, 230);border-bottom: 2px solid rgb(230, 230, 230);padding: 0px 5px 5px 0px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"font-size: 14px;min-width: 180px;min-height: 40px;padding: 0px 15px;border-width: 2px;border-style: solid;border-color: rgb(139, 6, 6);text-align: center;line-height: 40px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section style=\"display: inline-block;width: 10px;height: 10px;background-color: rgb(139, 6, 6);opacity: 0.5;transform: rotate(45deg);top: -1px;left: 0px;margin-right: 15px;\" data-mid=\"\" data-contenteditable=\"false\" mpa-from-tpl=\"t\"><br  \/><\/section>\n<section data-preserve-color=\"t\" style=\"display: inline-block;color: rgb(79, 79, 79);line-height: 30px;\" data-mid=\"\" mpa-from-tpl=\"t\">\n<section data-mid=\"\" mpa-is-content=\"t\" style=\"border-color: rgb(139, 6, 6);\" mpa-from-tpl=\"t\"><strong mpa-from-tpl=\"t\"><span style=\"border-color: rgb(139, 6, 6);color: rgb(123, 12, 0);font-size: 16px;\" mpa-is-content=\"t\">\u7ed3\u675f\u8bed<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><br mpa-from-tpl=\"t\"  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><span style=\"font-size: 15px;\">\u672c\u6587\u5c1d\u8bd5\u9488\u5bf9\u76ee\u524d\u6bd4\u8f83\u5e38\u89c1\u7684\u52a8\u529b\u5b66\u548c\u7f51\u7edc\u91cd\u6784\u7684\u65b9\u6cd5\u8fdb\u884c\u4e86\u68b3\u7406\u548c\u6982\u62ec\uff0c\u5e76\u9488\u5bf9\u51e0\u4e2a\u5e38\u89c1\u7684\u5e94\u7528\u9886\u57df\u8fdb\u884c\u4e86\u4ecb\u7ecd\u3002\u968f\u7740\u5927\u6570\u636e\u7684\u53d1\u5c55\u548c\u8ba1\u7b97\u80fd\u529b\u7684\u8fdb\u4e00\u6b65\u63d0\u5347\uff0c\u8fd9\u7c7b\u91cd\u6784\u65b9\u6cd5\u5c06\u4f1a\u5f97\u5230\u66f4\u8fdb\u4e00\u6b65\u7684\u53d1\u5c55\u3002\u8fd9\u4e00\u9886\u57df\u7684\u4e00\u4e2a\u7ec8\u6781\u53d1\u5c55\u76ee\u6807\u5219\u662f\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u81ea\u52a8\u5efa\u6a21\u3002\u8fd9\u6837\uff0c\u6211\u4eec\u5728\u8fd9\u4e9b\u7b97\u6cd5\u7684\u5e2e\u52a9\u4e0b\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u7406\u89e3\u6709\u53ef\u80fd\u5b8c\u6210\u5de8\u5927\u7684\u98de\u8dc3\u3002<\/span><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;text-align: center;\"><span style=\"font-size: 15px;\">&nbsp; &nbsp; &nbsp; &nbsp;<\/span><br  \/><\/p>\n<section style=\"white-space: normal;\">\n<section powered-by=\"xiumi.us\" style=\"font-size: 15px;letter-spacing: 0.544px;color: rgb(123, 12, 0);overflow-wrap: break-word !important;\">\n<p style=\"overflow-wrap: break-word !important;\"><strong><span style=\"font-size: 16px;\">\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<section data-tools=\"135\u7f16\u8f91\u5668\" data-id=\"72469\" style=\"white-space: normal;\">\n<section data-width=\"100%\" style=\"overflow: hidden scroll;height: 300px;width: 677px;display: inline-block;color: inherit;\">\n<section style=\"padding-top: 10px;padding-bottom: 10px;color: rgb(93, 91, 89);border-color: rgb(169, 169, 169);background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\n<section data-autoskip=\"1\" data-style=\"clear: none; margin-top: 0px; margin-bottom: 0px; line-height: 1.5em; text-align: right; color: inherit; border-color: rgb(239, 112, 96);\" style=\"padding: 15px;color: inherit;border-color: rgb(255, 255, 255);\">\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[1]&nbsp;\u5f20\u671d\u9633, \u9648\u9633, \u5f2d\u5143\u5143.et al.:&nbsp;\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784&nbsp;,\u300a\u4e2d\u56fd\u79d1\u5b66\u300b\u6742\u5fd7\u793e,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[2]&nbsp;M. Kim, J. Leskovec:&nbsp;The Network Completion Problem: Inferring Missing Nodes and Edges in Networks&nbsp;,Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011,2011<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[3]&nbsp;Joshua M. Stuart,Eran Segal,Daphne Koller.et al.:&nbsp;A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules&nbsp;,science,2003,302(5643):&nbsp;249-255<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[4]&nbsp;R. N. Mantegna:&nbsp;Hierarchical structure in financial markets&nbsp;,The European Physical Journal B &#8211; Condensed Matter and Complex Systems,2012<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[5]&nbsp;M. Tumminello, T. Aste, T. Di Matteo.et al.:&nbsp;A tool for filtering information in complex systems&nbsp;,Proceedings National Academy of Sciences of United States of America,2005,102(30):&nbsp;10421-10426<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[6]&nbsp;L. Kullmann, J. Kerte \u0301sz, K. Kaski:&nbsp;Time-dependent cross-correlations between different stock returns: A directed network of influence&nbsp;,Physical Review E,2002,66026125<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[7]&nbsp;Z. Zhang, Y. Chen, Y. Mi.et al.:&nbsp;Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises&nbsp;,Physical Review E,2019,99042311<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[8]&nbsp;S. Hempel, A. Koseska, J. Kurths.et al.:&nbsp;Inner Composition Alignment for Inferring Directed Networks from Short Time Series&nbsp;,Physical Review Letters,2011,107054101<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[9]&nbsp;J. F. Donges, Y. Zou, N. Marwan.et al.:&nbsp;The backbone of the climate network&nbsp;,Europhysics Letters,2009,87(4):&nbsp;48007<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[10]&nbsp;O. Stetter, D. Battaglia, J. Soriano.et al.:&nbsp;Model-Free Reconstruction of Excitatory Neuronal Connectivity from Calcium Imaging Signals&nbsp;,PloS Computational Biology,2012,8e1002653<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[11]&nbsp;C. W. J. Granger:&nbsp;Investigating Causal Relations by Econometric Models and Cross-spectral Methods,Econometrica,1969,37(3):&nbsp;424-438<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[12]&nbsp;Inferring causation from time series in Earth system sciences[\u8bba\u6587\u672a\u5165\u5e93]&nbsp;,Nature<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[13]&nbsp;M. Maziarz:&nbsp;A review of the Granger-causality fallacy&nbsp;,The Journal of Philosophical Economics: Reflections on Economic and Social Issues.,2015,VIII(2):&nbsp;1843-2298<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[14]&nbsp;D. Zhou, Y. Xiao, Y. Zhang.et al.:&nbsp;Causal and Structural Connectivity of Pulse-Coupled Nonlinear Networks&nbsp;,Physical Review Letters,2013,111054102<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[15]&nbsp;F. Takens:&nbsp;Detecting strange attractors in turbulence&nbsp;,Dynamical Systems and Turbulence,2006366-381<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[16]&nbsp;N. H. Packard, J. P. Crutchfield, J. D. Farmer.et al.:&nbsp;Geometry from a Time Series&nbsp;,Physical Review Letters,1980,45(9):&nbsp;712-716<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[17]&nbsp;W.Liebert, H.G.Schuster:&nbsp;Proper choice of the time delay for the analysis of chaotic time series&nbsp;,Physics Letters A,1989,142(2-3):&nbsp;107-111<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[18]&nbsp;T. D. Sauer, J. A. Yorke, M. Casdagli:&nbsp;Embedology&nbsp;,Journal of Statistical Physics,1991,65579\u2013616<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[19]&nbsp;J. D. Farmer, J. J. Sidorowich:&nbsp;Predicting chaotic time series&nbsp;,Physical Review Letters,1987,59845<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[20]&nbsp;U. Parlitz:&nbsp;Estimating Model Parameters from Time Series by Autosynchronization&nbsp;,Physical Review Letters,1996,761232<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[21]&nbsp;H. Ma, S. Leng, C. Tao.et al.:&nbsp;Detection of time delays and directional interactions based on time series from complex dynamical systems&nbsp;,Physical Review E,2017,96012221<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[22]&nbsp;J. M. McCracken, R. S. Weigel:&nbsp;Convergent Cross-Mapping and Pairwise Asymmetric Inference&nbsp;,Physical Review E,2014,90062903<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[23]&nbsp;\u5f20\u671d\u9633, \u9648\u9633, \u5f2d\u5143\u5143.et al.:&nbsp;\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784&nbsp;,\u300a\u4e2d\u56fd\u79d1\u5b66\u300b\u6742\u5fd7\u793e,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[24]&nbsp;Jose Casadiego,Mor Nitzan,Sarah Hallerberg.et al.:&nbsp;Model-free inference of direct network interactions from nonlinear collective dynamics&nbsp;,nature communications,2017,8(1):&nbsp;1-10<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[25]&nbsp;Z. Levnaji\u0107:&nbsp;Dynamical networks reconstructed from time series&nbsp;,arXiv:1209.0219,2012arXiv:1209.0219<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[26]&nbsp;D. Napoletani, T. D. Sauer:&nbsp;Reconstructing the topology of sparsely connected dynamical networks&nbsp;,Physical Review E,2008,77026103<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[27]&nbsp;W.-X. Wang,Y.-C. Lai, Celso Grebogi:&nbsp;Data based identification and prediction of nonlinear and complex dynamical systems&nbsp;,Physics Reports,2016,644(12):&nbsp;1-76<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[28]&nbsp;W.-X. Wang, R. Yang, Y.-C. Lai.et al.:&nbsp;Time-series\u2013based prediction of complex oscillator networks via compressive sensing&nbsp;,European Physics Letters,2011,94(4):&nbsp;48006<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[29]&nbsp;Zhesi Shen,Wen-Xu Wang,Ying Fan.et al.:&nbsp;Reconstructing propagation networks with natural diversity and identifying hidden sources&nbsp;,Nature,2014<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[30]&nbsp;W.X. Wang, R.Yang, Y.-C. Lai.et al.:&nbsp;Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing,Physics Review Letters,2011,106154101<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[31]&nbsp;W.-X. Wang, Y.-C. Lai, C. Grebogi.et al.:&nbsp;Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing&nbsp;,Physical Review X,2011,1021021<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[32]&nbsp;Lixiang Li,Dafei Xu,Haipeng Peng.et al.:&nbsp;Reconstruction of Complex Network based on the Noise via QR Decomposition and Compressed Sensing&nbsp;,scientific reports,2017,7(1):&nbsp;1-13<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[33]&nbsp;R. Yang, Y.-C. Lai, C. Grebogi:&nbsp;Forecasting the future: Is it possible for adiabatically time-varying nonlinear dynamical systems?&nbsp;,Chaos,2012,22033119<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[34]&nbsp;S. L. Brunton, J. L. Proctor, J. N. Kutz:&nbsp;Discovering governing equations from data by sparse identification of nonlinear dynamical systems&nbsp;,Proceedings of National Academy of Sciences of U.S.A.,2016,113(15):&nbsp;3932-3937<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[35]&nbsp;M. Nitzan, J. Casadiego, M. Timme:&nbsp;Revealing physical interaction networks from statistics of collective dynamics,Science Advances,2017,3(2):&nbsp;e1600396<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[36]&nbsp;Marc Timme, Jose Casadiego:&nbsp;Revealing networks from dynamics: an introduction&nbsp;,Journal of Physics A: Mathematical and Theoretical,2014,41(37):<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[37]&nbsp;\u5f20\u671d\u9633, \u9648\u9633, \u5f2d\u5143\u5143.et al.:&nbsp;\u4ece\u6570\u636e\u5230\u7ed3\u6784\u2014\u2014\u52a8\u529b\u5b66\u7f51\u7edc\u91cd\u6784&nbsp;,\u300a\u4e2d\u56fd\u79d1\u5b66\u300b\u6742\u5fd7\u793e,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[38]&nbsp;W. Buntine:&nbsp;A guide to the literature on learning probabilistic networks from data&nbsp;,IEEE Transactions on knowledge and data engineering,1996,8(2):&nbsp;195-210<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[39]&nbsp;Liu, H, Kim.et al.:&nbsp;Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans&nbsp;,Philosophical Transactions of the Royal Society B: Biological Sciences,2018,37320170377<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[40]&nbsp;Runge J.:&nbsp;Causal network reconstruction from time series: From theoretical assumptions to practical estimation,Chaos: An Interdisciplinary Journal of Nonlinear Science,2018,28075310<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[41]&nbsp;Guo, R, Cheng.et al.:&nbsp;A survey of learning causality with data: Problems and methods&nbsp;,arXiv preprint arXiv:1809.09337,2018<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[42]&nbsp;Runge, J, Nowack.et al.:&nbsp;Detecting and quantifying causal associations in large nonlinear time series datasets&nbsp;,Science Advances,2019,5eaau4996<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[43]&nbsp;Trifunov V.T., Shadaydeh M., Runge J..et al.:&nbsp;CAUSAL LINK ESTIMATION UNDER HIDDEN CONFOUNDING IN ECOLOGICAL TIME SERIES&nbsp;,9th International Workshop on Climate Infomatics,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[44]&nbsp;J. Bongard, H. Lipson:&nbsp;Automated reverse engineering of nonlinear dynamical systems&nbsp;,Proceedings of the National Academy of Sciences of U.S.A.,2007,104(24):&nbsp;9943-9948<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[45]&nbsp;Rise Ooi,Chao-Han Huck Yang,Pin-Yu Chen.et al.:&nbsp;Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning&nbsp;,arXiv:1811.05592,2018<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[46]&nbsp;Peter W. Battaglia,Jessica B. Hamrick,Victor Bapst.et al.:&nbsp;Relational inductive biases, deep learning, and graph networks&nbsp;,arxiv,2018<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[47]&nbsp;Alvaro Sanchez-Gonzalez,Nicolas Heess,Jost Tobias Springenberg.et al.:&nbsp;Graph networks as learnable physics engines for inference and control&nbsp;,arxiv,2018<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[48]&nbsp;Sungyong Seo,Yan Liu:&nbsp;Differentiable Physics-informed Graph Networks&nbsp;,arXiv:1902.02950,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[49]&nbsp;Chuanpan Zheng, Xiaoliang Fan, Cheng Wang.et al.:&nbsp;GMAN: A Graph Multi-Attention Network for Traffic Prediction,arxiv,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[50]&nbsp;Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting[C]\/\/[\u8bba\u6587\u672a\u5165\u5e93]<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[51]&nbsp;Shuo Wang,Yanran Li,Jiang Zhang.et al.:&nbsp;PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting&nbsp;,arXiv:2002.12898,2020<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[52]&nbsp;Thomas Kipf,Ethan Fetaya,Kuan-Chieh Wang.et al.:&nbsp;Neural Relational Inference for Interacting Systems,arXiv:1802.04687, 2018.,2018<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[53]&nbsp;Zhang Zhang, Yi Zhao, Jing Liu.et al.:&nbsp;A general deep learning framework for network reconstruction and dynamics learning&nbsp;,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[54]&nbsp;Yaguang Li,Chuizheng Meng,Cyrus Shahabi.et al.:&nbsp;Structure-informed Graph Auto-encoder for Relational Inference and Simulation&nbsp;,2016<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[55]&nbsp;Ferran Alet, Erica Weng, Tom\u00e1s Lozano P\u00e9rez.et al.:&nbsp;Neural Relational Inference with Fast Modular Meta-learning,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[56]&nbsp;Mengyuan Chen,Jiang Zhang,Zhang Zhang.et al.:&nbsp;Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network&nbsp;,arXiv:2001.06576,2020<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[57]&nbsp;Ibrahim Ayed,Emmanuel de B\u00e9zenac,Arthur Pajot.et al.:&nbsp;Learning Dynamical Systems from Partial Observations,arXiv:1902.11136,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[58]&nbsp;Luca Franceschi,Mathias Niepert,Massimiliano Pontil.et al.:&nbsp;Learning Discrete Structures for Graph Neural Networks,arXiv:1903.11960,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[59]&nbsp;Seungwoong Ha,Hawoong Jeong:&nbsp;Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning&nbsp;,arxiv,2020<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[60]&nbsp;C. Ma, H.-S. Chen, Y.-C. Lai.et al.:&nbsp;A statistical inference approach to structural reconstruction of complex networks from binary time series&nbsp;,Physical Review E,2018,97(022301):<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[61]&nbsp;C. Ma , H.-S. Chen, X. Li.et al.:&nbsp;Data Based Reconstruction of Duplex Networks&nbsp;,SIAM Journal on Applied Dynamical Systems,2019,19(1):&nbsp;124\u2013150<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[62]&nbsp;B.B. Xiang, C. Ma, H.S. Chen.et al.:&nbsp;Reconstructing signed networks via Ising dynamics&nbsp;,Chaos,2018,12123117[63]&nbsp;C.J. Oates, S. Mukherjee:&nbsp;Network Inference and Biological Dynamics&nbsp;,Annual Applied Statistics,2012,6(3):&nbsp;1209\u20131235<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[64]&nbsp;F. W. Crawford:&nbsp;Hidden network reconstruction from information diffusion&nbsp;,18th International Conference on Information Fusion,2015180-185<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[65]&nbsp;Ma, C, Zhang H F.et al.:&nbsp;Reconstructing complex networks without time series&nbsp;,2017,96022320<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[66]&nbsp;Rosenblum, M., Review.et al.:&nbsp;Reconstructing networks of pulse-coupled oscillators from spike trains&nbsp;,2017,96012209<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[67]&nbsp;Squartini T, Caldarelli G, Cimini G:&nbsp;Reconstruction methods for networks: The case of economic and financial systems,Science<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[68]&nbsp;Pozzi, F, Di Matteo.et al.:&nbsp;Spread of risk across financial markets: better to invest in the peripheries&nbsp;,Scientific reports,2013,31665<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[69]&nbsp;Giulio Cimini,Tiziano Squartini,Diego Garlaschelli.et al.:&nbsp;Systemic Risk Analysis on Reconstructed Economic and Financial Networks&nbsp;,scientific reports,2015,5(1):&nbsp;1-12<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[70]&nbsp;Demirer, M, Liu.et al.:&nbsp;Estimating global bank network connectedness[J]&nbsp;,Journal of Applied Econometrics,2018,331&#8211;15<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[71]&nbsp;Pratapa, A, Jalihal.et al.:&nbsp;Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data[J]&nbsp;,Nature Methods,20201&#8211;8<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[72]&nbsp;Marbach, D, Costello.et al.:&nbsp;Wisdom of crowds for robust gene network inference[J]&nbsp;,Nature methods,2012,9(8):&nbsp;796<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[73]&nbsp;Van Den Heuvel M P, Pol H E H.:&nbsp;Exploring the brain network: a review on resting-state fMRI functional connectivity,European neuro psycho pharmacology,2010,20519&#8211;534<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[74]&nbsp;Liu, H, Kim.et al.:&nbsp;Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans&nbsp;,Philosophical Transactions of the Royal Society B: Biological Sciences,2018,37320170377<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[75]&nbsp;Roebroeck, A, Formisano.et al.:&nbsp;Mapping directed influence over the brain using Granger causality,Neuroimage,2005,25230&#8211;242<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[76]&nbsp;Vicente, R, Wibral.et al.:&nbsp;Transfer entropy\u2014a model-free measure of effective connectivity for the neurosciences[J],Journal of computational neuroscience,2011,3045&#8211;67<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[77]&nbsp;Pikovsky A, Review, E:&nbsp;Reconstruction of a neural network from a time series of firing rates[J]&nbsp;,2016,93062313<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[78]&nbsp;Tsonis, A A, Roebber P J.:&nbsp;The architecture of the climate network&nbsp;,Physica A: Statistical Mechanics and its Applications,2004,333497&#8211;504<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[79]&nbsp;Yamasaki, K, Gozolchiani.et al.:&nbsp;Climate networks around the globe are significantly affected by El Nino[J]&nbsp;,Physical review letters,2008,100228501<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[80]&nbsp;Gozolchiani, A, Havlin.et al.:&nbsp;Emergence of El Ni\u00f1o as an autonomous component in the climate network&nbsp;,Physical review letters,2011,107148501<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[81]&nbsp;Wang, Y, Gozolchiani.et al.:&nbsp;Dominant imprint of Rossby waves in the climate network[J]&nbsp;,Physical review letters,2013,111138501<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[82]&nbsp;J. F. Donges, Y. Zou, N. Marwan.et al.:&nbsp;The backbone of the climate network&nbsp;,Europhysics Letters,2009,87(4):&nbsp;48007<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[83]&nbsp;Zhou D, Gozolchiani A, Ashkenazy Y:&nbsp;Teleconnection paths via climate network direct link detection&nbsp;,Physical review letters,2015,115268501<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[84]&nbsp;Jakob Runge,Peer Nowack, Marlene Kretschmer.et al.:&nbsp;Detecting and quantifying causal associations in large nonlinear time series datasets&nbsp;,Science,2019<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[85]&nbsp;Ludescher J, Gozolchiani A, Bogachev M I:&nbsp;Very early warning of next El Ni\u00f1o&nbsp;,Proceedings of the National Academy of Sciences,2014,1112064-2066<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;\">[86]&nbsp;Shuo Wang,Yanran Li,Jiang Zhang.et al.:&nbsp;PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting&nbsp;,arXiv:2002.12898,2020<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"white-space: normal;color: rgb(129, 0, 0);font-size: 16px;letter-spacing: 0.544px;font-family: -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);\"><br  \/><\/p>\n<p style=\"margin: 0pt 8px;white-space: normal;font-family: &quot;Helvetica Neue&quot;, Helvetica, &quot;Hiragino Sans GB&quot;, &quot;Apple Color Emoji&quot;, &quot;Emoji Symbols Font&quot;, &quot;Segoe UI Symbol&quot;, Arial, sans-serif;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);line-height: 1.7;font-size: 11pt;color: rgb(73, 73, 73);\">\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8\uff09<\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><br  \/><\/section>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"11\" data-source-title=\"\" style=\"white-space: normal;\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;\">\u4f5c\u8005\uff1a\u5f20\u6c5f<br  \/><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;\">\u7f16\u8f91\uff1a\u5f20\u723d<\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><br  \/><\/section>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\" style=\"white-space: normal;\">\n<section mpa-from-tpl=\"t\">\n<section data-mid=\"t4\" mpa-from-tpl=\"t\" style=\"margin-top: 20px;color: rgb(0, 0, 0);font-size: medium;display: flex;-webkit-box-pack: center;justify-content: center;-webkit-box-align: center;align-items: center;\">\n<section data-preserve-color=\"t\" data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 30px;padding-left: 30px;min-width: 60px;text-align: center;border-bottom: 2px solid rgb(232, 230, 230);\">\n<section data-mid=\"\" mpa-from-tpl=\"t\" style=\"padding-right: 10px;padding-left: 10px;display: inline-block;font-size: 14px;color: rgb(123, 12, 0);border-bottom: 2px solid rgb(123, 12, 0);transform: translate(0px, 2px);border-top-color: rgb(123, 12, 0);border-left-color: rgb(123, 12, 0);border-right-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" style=\"border-color: rgb(123, 12, 0);\"><\/p>\n<p style=\"border-color: rgb(123, 12, 0);\"><span mpa-is-content=\"t\" style=\"font-size: 16px;border-color: rgb(123, 12, 0);\"><strong mpa-from-tpl=\"t\" mpa-is-content=\"t\" style=\"border-color: rgb(123, 12, 0);\">\u63a8\u8350\u9605\u8bfb<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"white-space: normal;\"><br mpa-from-tpl=\"t\"  \/><\/p>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247502365&amp;idx=1&amp;sn=9561f99dab9732b5a154c9fa504eb814&amp;chksm=e8979090dfe019865fe2a4826225ac83f3f7c3d9be118ab17e4f4ffc558d8ffb72182fa0b4dc&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"font-size: 14px;text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong><span style=\"font-size: 14px;\">\u591a\u5c42\u7f51\u7edc\u7684\u52a8\u529b\u5b66\uff1a\u4ece\u7ed3\u6784\u4f9d\u8d56\u5230\u5386\u53f2\u4f9d\u8d56<\/span><\/strong><\/a><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247506966&amp;idx=1&amp;sn=4a77e194848fde84154ee906826e0fb5&amp;chksm=e897869bdfe00f8d638a21570f9d11786f8d5bdff359731ecb608bd490227e759c437278634b&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"font-size: 14px;text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong><span style=\"font-size: 14px;\">\u56e0\u679c\u89c2\u5ff5\u65b0\u9769\u547d\uff1f\u4e07\u5b57\u957f\u6587\uff0c\u89e3\u8bfb\u590d\u6742\u7cfb\u7edf\u80cc\u540e\u7684\u6697\u56e0\u679c<\/span><\/strong><\/a><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247500604&amp;idx=1&amp;sn=903543112581b0378f22c30faa207155&amp;chksm=e89799b1dfe010a76f97381bea19d2980c8d9eac850ffd3c744129b94f9e95078f7db3f510a1&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"font-size: 14px;text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong><span style=\"font-size: 14px;\">\u8d85\u8d8a\u7b80\u5355\u89c4\u5219\u2014\u2014\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u5bf9\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u81ea\u52a8\u5efa\u6a21<\/span><\/strong><\/a><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247500394&amp;idx=1&amp;sn=06c5c3579b538ff8d960af0db6edbba5&amp;chksm=e89798e7dfe011f1a01f720f6d0bf67486534a51ca23a1912864d7302e1c80eabcdef7df7f34&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" style=\"font-size: 14px;text-decoration: underline;\" data-linktype=\"2\" rel=\"noopener noreferrer\"><strong><span style=\"font-size: 14px;\">Science\u7ecf\u5178\u8bba\u6587\uff1a\u5982\u4f55\u68c0\u6d4b\u590d\u6742\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\uff1f<\/span><\/strong><\/a><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;text-align: center;line-height: 1.75em;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247502752&amp;idx=1&amp;sn=4ceaf4f227a4f7065b3cd256a2022552&amp;chksm=e897912ddfe0183b570a12e6b40212e33b76a95c54abe6e10afe7069acb9f6236bd39ccf8cda&amp;scene=21#wechat_redirect\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" style=\"text-decoration: underline;font-size: 14px;\" rel=\"noopener noreferrer\"><strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><br  \/><\/section>\n<section style=\"margin-right: 8px;margin-left: 8px;white-space: normal;line-height: 1.75em;\"><br  \/><\/section>\n<section data-mpa-template=\"t\" mpa-from-tpl=\"t\" style=\"white-space: normal;\">\n<section mpa-from-tpl=\"t\">\n<section data-mpa-template-id=\"1398939\" data-mpa-color=\"null\" data-mpa-category=\"\u6536\u85cf\" mpa-from-tpl=\"t\">\n<section data-mpa-template-id=\"1345806\" data-mpa-color=\"null\" data-mpa-category=\"fav\" mpa-from-tpl=\"t\" style=\"color: rgb(0, 0, 0);font-size: medium;\">\n<hr style=\"color: rgb(51, 51, 51);font-size: 17px;letter-spacing: 0.544px;\"  \/>\n<p style=\"margin-right: 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25.6px;outline: none medium;\">\n<section data-mpa-template-id=\"83535\" data-mpa-color=\"#ffffff\" mpa-from-tpl=\"t\" style=\"outline: none medium;\">\n<section data-mpa-template=\"\" mpa-from-tpl=\"t\" style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 15px;outline: none medium;\">\n<section powered-by=\"xiumi.us\" mpa-from-tpl=\"t\" style=\"line-height: 25.6px;border-color: rgb(123, 12, 0);\">\n<p style=\"margin-top: 10px;margin-bottom: 10px;padding-right: 3px;padding-left: 3px;transform: translate3d(0px, 0px, 0px);border-color: rgb(123, 12, 0);line-height: 1.5em;\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 12px;color: rgb(136, 136, 136);\">\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n<p style=\"margin-top: 10px;margin-bottom: 10px;padding-right: 3px;padding-left: 3px;transform: translate3d(0px, 0px, 0px);border-color: rgb(123, 12, 0);line-height: 1.5em;\"><strong mpa-from-tpl=\"t\"><span style=\"font-size: 12px;color: rgb(136, 136, 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