{"id":27013,"date":"2021-06-15T21:18:25","date_gmt":"2021-06-15T13:18:25","guid":{"rendered":"https:\/\/swarma.org\/?p=27013"},"modified":"2021-06-15T21:18:25","modified_gmt":"2021-06-15T13:18:25","slug":"%e7%89%a9%e7%90%86%e7%bd%91%e7%bb%9c%e4%b8%ad%e7%9a%84%e7%9b%91%e7%9d%a3%e5%ad%a6%e4%b9%a0%ef%bc%9a%e4%bb%8e%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e5%88%b0%e5%ad%a6%e4%b9%a0%e6%9c%ba%e5%99%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=27013","title":{"rendered":"\u7269\u7406\u7f51\u7edc\u4e2d\u7684\u76d1\u7763\u5b66\u4e60\uff1a\u4ece\u673a\u5668\u5b66\u4e60\u5230\u5b66\u4e60\u673a\u5668"},"content":{"rendered":"
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Supervised Learning in Physical Networks: From Machine Learning to Learning Machines<\/span><\/p>\n

\u539f\u6587\u5730\u5740\uff1a<\/span>https:\/\/journals.aps.org\/prx\/abstract\/10.1103\/PhysRevX.11.021045#fulltext<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u81ea\u7136\u7cfb\u7edf<\/span>\uff08\u5982\u5927\u8111\uff09<\/span>\u4f7f\u7528\u5b8c\u5168\u4e0d\u540c\u7684\u5b66\u4e60\u6846\u67b6\uff0c\u901a\u8fc7\u8fdb\u5316\u4ee5\u83b7\u5f97\u6240\u9700\u7684\u529f\u80fd\uff0c\u7814\u7a76\u4eba\u5458\u79f0\u4e4b\u4e3a\u201c\u5c40\u90e8\u5b66\u4e60\u201d<\/span>\uff08local learning\uff09<\/span>\u3002\u8fd9\u79cd\u6f14\u53d8\u662f\u5b8c\u5168\u81ea\u4e3b\u7684\uff0c\u4e0d\u9700\u8981\u5916\u90e8\u4eba\u5458\u6765\u8bc4\u4f30\u7cfb\u7edf\u7684\u5f53\u524d\u72b6\u6001\uff0c\u8fdb\u884c\u540e\u7eed\u4fee\u6539\u3002\u5728\u5c40\u90e8\u5b66\u4e60\u4e2d\uff0c\u7f51\u7edc\u7684\u67d0\u4e9b\u90e8\u5206\u53ea\u80fd\u6839\u636e\u5176\u9644\u8fd1\u53ef\u7528\u7684\u5c40\u90e8\u4fe1\u606f\u8fdb\u884c\u8fdb\u5316[7]\u3002\u5c06\u8fd9\u79cd\u5b66\u4e60\u65b9\u6cd5\u5e94\u7528\u4e8e\u7269\u7406\u7f51\u7edc<\/span>\uff08\u4f8b\u5982\u6d41\u7f51\u7edc\u6216\u673a\u68b0\u7f51\u7edc\uff09<\/span>\u7279\u522b\u6709\u7528\u3002<\/span><\/section>\n

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\u6700\u8fd1\uff0c\u201c\u5b9a\u5411\u8001\u5316\u201d<\/span>\uff08directed aging\uff09<\/span>\u7684\u5c40\u90e8\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\uff0c\u5176\u4e2d\u65e0\u5e8f\u7cfb\u7edf\u7684\u65f6\u95f4\u6f14\u5316\u7531\u65bd\u52a0\u7684\u5e94\u529b\u9a71\u52a8\uff0c\u53ef\u7528\u4e8e\u521b\u5efa\u5177\u6709\u6240\u9700\u7279\u6027\u6216\u529f\u80fd\u7684\u673a\u68b0\u8d85\u6750\u6599 [9-11]\u3002\u5c40\u90e8\u76d1\u7763\u5b66\u4e60\u76f8\u5bf9\u4e8e\u5168\u5c40\u76d1\u7763\u5b66\u4e60\u7684\u5de8\u5927\u4f18\u52bf\u5728\u4e8e\u8be5\u8fc7\u7a0b\u662f\u53ef\u6269\u5c55\u7684\u2014\u2014\u5b83\u53ef\u4ee5\u5e94\u7528\u4e8e\u8bad\u7ec3\u5927\u578b\u7cfb\u7edf\uff0c\u800c\u65e0\u9700\u624b\u52a8\u4fee\u6539\u5176\u7ec4\u6210\u90e8\u5206 [9]\u3002\u6b64\u5916\uff0c\u5b9a\u5411\u8001\u5316\u4e0d\u9700\u8981\u5fae\u89c2\u76f8\u4e92\u4f5c\u7528\u7684\u8be6\u7ec6\u4fe1\u606f\u6216\u64cd\u7eb5<\/span>\uff08\u5fae\u89c2\uff09<\/span>\u5b66\u4e60\u81ea\u7531\u5ea6\u7684\u80fd\u529b[9]\u3002<\/span><\/section>\n

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3\uff09\u76d1\u7763\u5206\u7c7b<\/span><\/strong><\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u5728\u4e0a\u4e00\u8282\u4e2d\uff0c\u7814\u7a76\u4eba\u5458\u5df2\u7ecf\u901a\u8fc7\u8ba1\u7b97\u8bc1\u660e\u4e86\u6d41\u7f51\u7edc\u548c\u673a\u68b0\u7f51\u7edc\u4f7f\u7528\u8026\u5408\u5b66\u4e60\u89c4\u5219\u6210\u529f\u5730\u5b66\u4e60\u4e86\u6240\u9700\u7684\u884c\u4e3a\u3002\u4e3a\u4e86\u8ba9\u7f51\u7edc\u5728\u7269\u7406\u73af\u5883\u4e2d\u81ea\u4e3b\u5b66\u4e60\uff0c\u7f51\u7edc\u5fc5\u987b\u80fd\u591f\u5c06\u8026\u5408\u5b66\u4e60\u89c4\u5219\u4f5c\u4e3a\u5176\u5b66\u4e60\u81ea\u7531\u5ea6\u3002\u6b64\u5916\uff0c\u5916\u90e8\u64cd\u4f5c\u9700\u8981\u80fd\u591f\u6839\u636e\u9700\u8981\u94b3\u5236\u76ee\u6807\u8282\u70b9\u3002\u5bf9\u4e8e\u6d41\u4f53\u6d41\u52a8\u7f51\u7edc\uff0c\u8026\u5408\u5b66\u4e60\u9700\u8981\u7ba1\u9053\u7535\u5bfc\u503c\u4e0e\u7ba1\u9053\u5185\u90e8\u6d41\u52a8\u7684\u8026\u5408\u3002<\/span><\/section>\n

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1\uff09\u8fd1\u4f3c\u5b66\u4e60\u89c4\u5219\uff08approximate learning rules\uff09<\/span><\/strong><\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u6211\u4eec\u53ef\u4ee5\u5728\u81ea\u7531\u6001\u5468\u56f4\u4e32\u8054\u6269\u5c55\u94b3\u4f4d\u529f\u7387\uff0c\u4ee5\u83b7\u5f97\u5b66\u4e60\u89c4\u5219\u7684\u65b0\u8868\u8fbe\u5f0f\uff1a<\/span><\/section>\n

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\u8fd9\u8003\u8651\u4e86\u4e0d\u540c\u7684\u72b6\u6001\u5bf9\u7f51\u7edc\u7684\u5f71\u54cd\u3002<\/span><\/section>\n

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2\uff09\u7269\u7406\u6216\u5b66\u4e60\u81ea\u7531\u5ea6\u4e2d\u7684\u566a\u97f3<\/span><\/strong><\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u7f51\u7edc\u4e2d\u5b58\u5728\u566a\u97f3\uff0c\u5728\u5b66\u4e60\u4e2d\u53ef\u4ee5\u9002\u5f53\u8c03\u6574\u53c2\u6570\u4ee5\u6539\u5584\u8bad\u7ec3\u7ed3\u679c\u3002<\/span><\/section>\n

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\u56fe6\uff1a\u4f7f\u7528\u566a\u58f0\u6d4b\u91cf\u548c\u6269\u6563\u5b66\u4e60\u81ea\u7531\u5ea6\u8fdb\u884c\u5b66\u4e60\u3002(a)\u5f53\u81ea\u7531\u6216\u94b3\u4f4d\u72b6\u6001\u6d4b\u91cf\u4e2d\u5b58\u5728\u566a\u58f0\u65f6\uff0c\u5c0f\u7684\u5fae\u8c03\u4f1a\u963b\u788d\u5b66\u4e60\u3002\u53ef\u4ee5\u901a\u8fc7\u8f83\u5927\u7684\u5fae\u8c03\u6765\u6539\u5584\u8bad\u7ec3\u7ed3\u679c\u3002(b)\u5b66\u4e60\u81ea\u7531\u5ea6\u7684\u6f02\u79fb\u4f1a\u963b\u788d\u5b66\u4e60\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u589e\u52a0\u5b66\u4e60\u7387\u03b1\u6765\u51cf\u8f7b\u5176\u5f71\u54cd\u3002<\/span><\/p>\n


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3\uff09\u7269\u7406\u5f1b\u8c6b<\/span><\/strong><\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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<\/p>\n<\/section>\n

\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u7814\u7a76\u4eba\u5458\u91c7\u7528\u4e86\u8026\u5408\u5b66\u4e60\u7684\u51c6\u9759\u6001\u6781\u9650\uff0c\u56e0\u6b64\u5728\u8ba1\u7b97\u81ea\u7531\u6216\u94b3\u4f4d\u72b6\u6001\u4e4b\u524d\uff0c\u7f51\u7edc\u9996\u5148\u8fbe\u5230\u5176\u7a33\u5b9a\u5e73\u8861\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u7814\u7a76\u4eba\u5458\u63a2\u7d22\u4e86\u5b66\u4e60\u6bd4\u7269\u7406\u52a8\u529b\u5b66\u6162\u5f97\u591a\u7684\u6781\u9650 [39]\u3002\u7136\u800c\uff0c\u7269\u7406\u7f51\u7edc\u9700\u8981\u6709\u9650\u7684\u65f6\u95f4\u6765\u5f1b\u8c6b\u5230\u5b83\u4eec\u7684\u5e73\u8861\u72b6\u6001\u3002\u56e0\u6b64\uff0c\u4f7f\u7528\u5c0f\u7684\u5fae\u8c03\u901a\u5e38\u65e0\u52a9\u4e8e\u52a0\u901f\u7f51\u7edc\u5411\u5176\u5e73\u8861\u72b6\u6001\u7684\u7269\u7406\u677e\u5f1b\u3002<\/span><\/section>\n

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4. \u8026\u5408\u5b66\u4e60\u89c4\u5219\u4e0e\u5176\u4ed6\u5b66\u4e60\u65b9\u6cd5\u7684\u6bd4\u8f83<\/strong><\/strong><\/p>\n<\/section>\n

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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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\u4e3a\u4e86\u5f3a\u8c03\u5c40\u90e8\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\u7684\u4f18\u52bf\uff0c\u7814\u7a76\u4eba\u5458\u5c06\u5176\u4e0e\u5168\u5c40\u76d1\u7763\u5b66\u4e60\u8fdb\u884c\u6bd4\u8f83\u3002<\/span>
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5. \u8ba8\u8bba<\/strong><\/strong><\/p>\n<\/section>\n

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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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