{"id":2985,"date":"2023-10-18T23:43:50","date_gmt":"2023-10-18T15:43:50","guid":{"rendered":"http:\/\/khsci.com\/docs\/?p=2985"},"modified":"2024-05-30T21:38:00","modified_gmt":"2024-05-30T13:38:00","slug":"cnn_reg","status":"publish","type":"post","link":"https:\/\/www.khsci.com\/docs\/index.php\/2023\/10\/18\/cnn_reg\/","title":{"rendered":"\u4f7f\u7528CNN\u8fdb\u884c\u56de\u5f52\u9884\u6d4b\u4ee3\u7801"},"content":{"rendered":"\n
\n

-\u4f7f\u7528\u6ce2\u58eb\u987f\u623f\u4ef7\u9884\u6d4b\u4f5c\u4e3a\u6f14\u793a\u6848\u4f8b\u3002<\/p>\n\n\n\n

-\u53ef\u4ee5\u81ea\u7531\u8bbe\u7f6e\u795e\u7ecf\u7f51\u7edc\u5377\u79ef\u5c42\u7ed3\u6784\u3001\u6c60\u5316\u5c42\u7ed3\u6784<\/p>\n\n\n\n

-\u53ef\u4ee5\u5feb\u901f\u5212\u5206\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6<\/p>\n\n\n\n

-\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u540e\u81ea\u52a8\u7ed8\u5236\u51fa\u6536\u655b\u8fc7\u7a0b\u3001\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u7684\u9884\u6d4b\u7ed3\u679c\u5bf9\u6bd4\u3001\u76f8\u5bf9\u8bef\u5dee\u56fe\u3001MAE\/MSE\/MAPE\/RMSE\/R\u7b49\u6307\u6807<\/strong><\/p>\n\n\n\n

-\u591a\u79cd\u8bad\u7ec3\u53c2\u6570\u53ef\u8bbe\u7f6e\uff0c\u5305\u62ec\u6c42\u89e3\u5668\u3001\u8fed\u4ee3\u6b21\u6570\u3001\u521d\u59cb\u5b66\u4e60\u7387\u7b49\u7b49<\/p>\n\n\n\n

-\u53ef\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50\uff0c\u4fdd\u8bc1\u6bcf\u6b21\u8fd0\u884c\u7ed3\u679c\u4fdd\u6301\u4e00\u81f4<\/p>\n\n\n\n

\u2013\u9700\u8981\u4f60\u505a\u7684\u57fa\u672c\u53ea\u6709\u5bfc\u5165\u6570\u636e\u548c\u8c03\u53c2\u3002<\/strong><\/p>\n\n\n\n

\u2013\u7edd\u5927\u591a\u6570\u6d41\u7a0b\u90fd\u88ab\u5c01\u88c5\u56fa\u5316\u5230\u51fd\u6570\u4e2d\uff0c\u4eff\u7167\u6848\u4f8b\u5bfc\u5165\u4f60\u7684\u6570\u636e\u5373\u523b\u5f97\u5230\u7ed3\u679c~<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u4e00\u3001\u4ee3\u7801\u8fd0\u884c\u73af\u5883<\/strong><\/h4>\n\n\n\n

MATLAB2018b\u53ca\u66f4\u65b0\u7248\u672c\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u7a0b\u5e8f\u4ecb\u7ecd<\/strong><\/h4>\n\n\n
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\u6ce8\uff1a\u56fe\u6807\u4ee3\u8868\u8be5m\u6587\u4ef6\u4e3a\u811a\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\uff1b\u56fe\u6807\u4ee3\u8868\u51fd\u6570\u6587\u4ef6\uff0c\u5728\u6ca1\u6709\u8f93\u5165\u53d8\u91cf\u7684\u60c5\u51b5\u4e0b\u65e0\u6cd5\u76f4\u63a5\u8fd0\u884c\u3002\u66f4\u8be6\u7ec6\u7684\u89e3\u91ca\u53ef\u4ee5\u770b\u8fd9\u91cc<\/a>\u3002<\/p>\n\n\n\n

1.scriptRegCNNs.m\u6587\u4ef6<\/strong><\/p>\n\n\n\n

\u4f7f\u7528\u6ce2\u58eb\u987f\u57ce\u90ca\u533a\u57df\u7684\u623f\u4ef7\u6570\u636e\u96c6\u8fdb\u884c\u56de\u5f52\u9884\u6d4b\u7684\u6848\u4f8b\uff0c\u5176\u4e2d\u6f14\u793a\u4e86FunRegCNNs\u51fd\u6570\u7684\u5e94\u7528\u65b9\u5f0f\u793a\u8303\u3002<\/p>\n\n\n\n

\u6587\u4ef6\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\u3002\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u6210\u540e\uff0c\u5c06\u4f1a\u753b\u51fa\u5982\u4e0b\u56fe\u50cf\uff1a<\/p>\n\n\n

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\u6536\u655b\u8fc7\u7a0b\u56fe<\/p>\n\n\n

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\u7f51\u7edc\u7ed3\u6784\u56fe<\/p>\n\n\n

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\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u635f\u5931\u503c\u548cRMSE\u6536\u655b\u56fe<\/p>\n\n\n

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\u8bad\u7ec3\u96c6\u62df\u5408\u7ed3\u679c\u5bf9\u6bd4\u56fe<\/p>\n\n\n

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\u8bad\u7ec3\u96c6\u9884\u6d4b\u7ed3\u679c\u76f8\u5bf9\u8bef\u5dee<\/p>\n\n\n

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\u6d4b\u8bd5\u96c6\u9884\u6d4b\u7ed3\u679c\u5bf9\u6bd4\u56fe<\/p>\n\n\n

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\u6d4b\u8bd5\u96c6\u9884\u6d4b\u7ed3\u679c\u76f8\u5bf9\u8bef\u5dee<\/p>\n\n\n\n

\u5728\u547d\u4ee4\u884c\u7a97\u53e3\u8fd8\u4f1a\u6253\u5370\u51fa\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n\n\n

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\u7f51\u7edc\u7ed3\u6784<\/p>\n\n\n

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\u6bcf\u5c42\u7f51\u7edc\u7684\u8f93\u51fa\u5c3a\u5bf8<\/p>\n\n\n

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MAE\/MSE\/MAPE\/RMSE\/R\u7b49\u6307\u6807<\/p>\n\n\n\n

2.FunRegCNNs.m\u6587\u4ef6<\/strong><\/p>\n\n\n\n

\u4f7f\u7528CNN\u8fdb\u884c\u56de\u5f52\u9884\u6d4b\u7684\u5feb\u901f\u5b9e\u73b0\u51fd\u6570\u3002<\/p>\n\n\n\n

\u4ee3\u7801\u8bf4\u660e\uff1a<\/p>\n\n\n\n

function [foreData,foreDataTrain,net,info] = FunRegCNNs(dataX,dataY,trainR,cLayer,poolingLayer,fcLayer,options,figflag)\n% \u4f7f\u7528CNN\u8fdb\u884c\u56de\u5f52\u9884\u6d4b\u7684\u5feb\u901f\u5b9e\u73b0\u51fd\u6570\n% \u8be5\u51fd\u6570\u9700\u8981\u8f93\u5165\u7684\u6570\u636e\u4e3aarray\u6570\u7ec4\u578b\n% \u8f93\u5165\uff1a\n% dataX\uff1a\u8f93\u5165\u6570\u636e\uff0cR*Q\u7684\u77e9\u9635\uff0cR\u4e3a\u8f93\u5165\u6570\u636e\u7684\u7ef4\u5ea6\uff0cQ\u4e3a\u6279\u6b21\u6570\uff0c\u8f93\u5165\u8be5\u53d8\u91cf\u65f6\u4e00\u5b9a\u8981\u6ce8\u610f\u7ef4\u5ea6\u6b63\u786e\n%           \u4f8b\uff1a\u5bf9\u4e8e\u4e00\u7ef4\u7279\u5f81\uff0c\u6bcf\u7ec4\u6570\u636e\u957f\u5ea6\u4e3a20\uff0c\u51711000\u7ec4\u6570\u636e\uff0c\u5219dataX\u7684\u53ef\u4ee5\u7ef4\u5ea6\u4e3a\uff1a20*1000\n% dataY\uff1a\u8f93\u51fa\u7ed3\u679c\n% trainR\uff1a\u6570\u636e\u96c6\u4e2d\u8bad\u7ec3\u96c6\u5212\u5206\u6bd4\u4f8b\uff0c\u5982\uff1atrainR = 0.6\uff0c\u5219\u4ee3\u886860%\u6570\u636e\u7528\u4e8e\u8bad\u7ec3\u96c6\uff0c40%\u6570\u636e\u7528\u4e8e\u6d4b\u8bd5\u96c6\n\n% cLayer\uff1a\u5377\u79ef\u5c42\u7ed3\u6784\uff0c\u4e3an*5\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5176\u4e2dn\u4e3a\u5377\u79ef\u5c42\u7684\u6570\u91cf\n% \u5217\u5411\u76845\u4e2a\u7ef4\u5ea6\u65f6\u5206\u522b\u4ee3\u8868\u6ee4\u6ce2\u5668\u7684\u9ad8\u3001\u6ee4\u6ce2\u5668\u7684\u5bbd\u3001\u6ee4\u6ce2\u5668\u6570\u91cf\u3001\u6b65\u957f\u3001\u586b\u5145\n% \u4f8b\uff0ccLayer = [3,1,16,1,1;3,1,32,1,0]\u65f6\uff0c\u5219\u4ee3\u8868\u6709\u4e24\u5c42\u5377\u79ef\u5c42\uff0c\u5176\u4e2d\u7b2c\u4e00\u5c42\u6ee4\u6ce2\u5668\u9ad8\u4e3a3\uff0c\u5bbd\u4e3a1\uff0c\u6ee4\u6ce2\u5668\u6570\u91cf\u4e3a16\uff0c\u6b65\u957f1\uff0c\u586b\u51451\n%                                                \u7b2c\u4e8c\u6b21\u6ee4\u6ce2\u5668\u9ad8\u4e3a3\uff0c\u5bbd\u4e3a1\uff0c\u6ee4\u6ce2\u5668\u6570\u91cf\u4e3a32\uff0c\u6b65\u957f1\uff0c\u586b\u51450\n\n% poolingLayer\uff1a\u6c60\u5316\u5c42\u7ed3\u6784\uff0c\u4e3a\u957f\u5ea6\u4e3an*5\u7684cell\u6570\u636e\uff0c\u5176\u4e2dn\u4e3a\u6c60\u5316\u5c42\u7684\u6570\u91cf\uff0c\u548c\u5377\u79ef\u5c42\u5c42\u6570\u76f8\u540c\u3002\n% \u5217\u5411\u7684\u4e09\u4e2a\u7ef4\u5ea6\u5206\u522b\u4ee3\u8868\uff1a1.\u6c60\u5316\u5c42\u7c7b\u578b\uff0c\u5206\u4e3a'maxPooling2dLayer'\u548c'averagePooling2dLayer'\u4e24\u79cd\uff0c\u5982\u679c\u4e0d\u7528\u6c60\u5316\u5c42\u8bbe\u7f6e\u4e3a'none'\n%                         2.\u6c60\u5316\u533a\u57df\u9ad8\u5ea6\u5c3a\u5bf8\n%                         3.\u6c60\u5316\u533a\u57df\u5bbd\u5ea6\u5c3a\u5bf8\n%                         4.\u6b65\u957f\n%                         5.\u586b\u5145\n% \u4f8b\u5982\uff1a\n% poolingLayer = {'maxPooling2dLayer',2,1,2,1; 'averagePooling2dLayer',2,1,1,0};\n% \u4ee3\u8868\u7b2c\u4e00\u4e2a\u6c60\u5316\u5c42\u4e3a\u6700\u5927\u6c60\u5316\u5c42\uff0c\u5c3a\u5bf8\u4e3a2*1\uff0c\u6b65\u957f2\uff0c\u586b\u51451\uff0c\u7b2c\u4e8c\u4e2a\u6c60\u5316\u5c42\u4e3a\u5e73\u5747\u6c60\u5316\u5c42\uff0c\u5c3a\u5bf8\u4e3a2*1\uff0c\u6b65\u957f1\uff0c\u586b\u51450\n% \u6ce8\u610f\uff01\u5982\u679c\u5bf9\u5e94\u5377\u79ef\u5c42\u540e\u4e0d\u8bbe\u7f6e\u6c60\u5316\u5c42\uff0c\u8bf7\u5728\u5bf9\u5e94\u7684\u4f4d\u7f6e\u8bbe\u7f6e\u4e3a'none',0,0,0,0\n% \u6bd4\u5982cLayer\u8bbe\u7f6e\u4e3a\u4e24\u5c42\u65f6\uff0c\u5982\u679c\u53ea\u60f3\u5728\u7b2c\u4e00\u5c42\u5377\u79ef\u5c42\u540e\u5bf9\u5e94\u6709\u6c60\u5316\u5c42\uff0c\u7b2c\u4e8c\u5c42\u5377\u79ef\u5c42\u540e\u65e0\u6c60\u5316\u5c42\uff0c\u90a3\u4e48\u6c60\u5316\u5c42\u5e94\u8be5\u8bbe\u7f6e\u4e3a\uff1a\n% poolingLayer = {'maxPooling2dLayer',1,2,1,0;\n%                 'none',0,0,0,0 }; %\u540e\u8fb9\u7684\u56db\u4e2a0\u4e3b\u8981\u662f\u5360\u4f4d\uff0c\u4e0d\u8d77\u5b9e\u9645\u4f5c\u7528\n\n% options\uff1a\u4e00\u4e9b\u4e0e\u7f51\u7edc\u8bad\u7ec3\u7b49\u76f8\u5173\u7684\u8bbe\u7f6e\uff0c\u4f7f\u7528\u7ed3\u6784\u4f53\u65b9\u5f0f\u8d4b\u503c\uff0c\u6bd4\u5982 options.MaxEpochs = 1000\uff0c\u5177\u4f53\u5305\u62ec\uff1a\n%             solverName\uff1a\u6c42\u89e3\u5668\uff0c'sgdm'\uff08\u9ed8\u8ba4\uff09 | 'rmsprop' | 'adam'\n%             MaxEpochs\uff1a\u6700\u5927\u8fed\u4ee3\u6b21\u6570\uff0c\u9ed8\u8ba430\n%             MiniBatchSize\uff1a\u6279\u5c3a\u5bf8\uff0c\u9ed8\u8ba4128\n%             GradientThreshold\uff1a\u68af\u5ea6\u6781\u9650\uff0c\u9ed8\u8ba4\u4e3aInf\n%             InitialLearnRate\uff1a\u521d\u59cb\u5316\u5b66\u4e60\u901f\u7387\uff08\u9ed8\u8ba40.005\uff09\n%             Plots\uff1a\u662f\u5426\u663e\u793a\u8bad\u7ec3\u8fc7\u7a0b\uff0c'none' \u4e3a\u4e0d\u663e\u793a\uff08\u9ed8\u8ba4\uff09 | 'training-progress'\u4e3a\u663e\u793a\n%             ValidationFrequency\uff1a\u9a8c\u8bc1\u9891\u7387\uff0c\u5373\u6bcf\u95f4\u9694\u591a\u5c11\u6b21\u8fed\u4ee3\u8fdb\u884c\u4e00\u6b21\u9a8c\u8bc1\uff0c\u9ed8\u8ba450\n%             LearnRateSchedule\uff1a\u5373LearnRateSchedule\u662f\u5426\u5728\u4e00\u5b9a\u8fed\u4ee3\u6b21\u6570\u540e\u5b66\u4e60\u901f\u7387\u4e0b\u964d\uff0c LearnRateSchedule ='piecewise'\u4e3a\u4f7f\u7528\uff0c'none'\u4e3a\u4e0d\u4f7f\u7528\uff08\u9ed8\u8ba4\uff09\n%             LearnRateDropPeriod\uff1a\u5373LearnRateDropPeriod\u5b66\u4e60\u901f\u7387\u4e0b\u964d\u65f6\u7684\u8fed\u4ee3\u6570\uff0c\u9ed8\u8ba4\u4e3a10\n%             LearnRateDropFactor\uff1a\u5373LearnRateDropFactor\u5b66\u4e60\u901f\u7387\u4e0b\u964d\u56e0\u5b50\uff0c\u4e0b\u964d\u540e\u53d8\u4e3aLearnRateDropFactor*InitialLearnRate\uff0cLearnRateSchedule\u4e3a0\u65f6\u53ef\u4ee5\u8d4b0\uff0c\u9ed8\u8ba4\u4e3a0.1\n%             \uff08\u672a\u542f\u7528\uff09NorFlag\uff1a\u5373Normalization Flag\uff0c\u8bbe\u7f6e\u4e3a1\u65f6\u5219\u5728\u7a0b\u5e8f\u4e2d\u8fdb\u884c\u6570\u636e\u5f52\u4e00\u5316\u548c\u53cd\u5f52\u4e00\u5316\u64cd\u4f5c\uff0c\u5426\u5219\u4e0d\u8fdb\u884c\uff0c\u5efa\u8bae\u8bbe\u7f6e\u4e3a1\n%             SeedFlag\uff1a\u968f\u673a\u79cd\u5b50\u6807\u5fd7\uff0c\u8bbe\u7f6e\u4e3a1\u65f6\u542f\u7528\u968f\u673a\u79cd\u5b50,(\u9ed8\u8ba4\u4e3a1)\n% fcLayer\uff1a\u5168\u8fde\u63a5\u5c42\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u591a\u5c42\uff0c\u5982\u679c\u8bbe\u7f6efcLayer=[]\uff0c\u5219\u5728\u7f51\u7edc\u7ed3\u6784\u4e2d\u53ea\u5305\u542b\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u8f93\u51fa\u7684\u7ef4\u5ea6\u4e0e\u6570\u636e\u7c7b\u522b\u76f8\u540c\u3002\n%                                  \u5982\u679c\u8bbe\u7f6efcLayer\u4e3a\u6570\u7ec4\uff0c\u5219\u4ee3\u8868\u5728\u4e0a\u8fb9\u7684\u5168\u8fde\u63a5\u5c42\u4e4b\u524d\u518d\u52a0\u5165\u5bf9\u5e94\u6570\u91cf\u7684\u5168\u8fde\u63a5\u5c42\u548cReLU\u5c42\n%                                  \u4f8b\u5982\u8bbe\u7f6efcLayer=[32,16]\uff0c\u5219\u4ee3\u8868\u5728\u5171\u6709\u4e09\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u7b2c\u4e00\u4e2a\u662ffullyConnectedLayer(32)+ReLU\uff0c\u7b2c\u4e8c\u4e2a\u662ffullyConnectedLayer(16)+ReLU\uff0c\n%                                                           \u7b2c\u4e09\u4e2a\u662ffullyConnectedLayer(numClasses)\n% figflag\uff1a\u662f\u5426\u753b\u56fe\uff0c'on'\u4e3a\u753b\u56fe\uff0c'off'\u4e3a\u4e0d\u753b\n% \u8f93\u51fa\uff1a\n% foreData\uff1a\u6d4b\u8bd5\u96c6\u7684\u56de\u5f52\u9884\u6d4b\u7ed3\u679c\n% foreDataTrain:\u8bad\u7ec3\u96c6\u7684\u56de\u5f52\u9884\u6d4b\u7ed3\u679c\n% net\uff1a\u8bad\u7ec3\u597d\u7684\u7f51\u7edc\n% info\uff1a\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u76f8\u5173\u53c2\u6570\uff0c\u5982loss\u503c\u3001\u51c6\u786e\u5ea6\u7b49<\/code><\/pre>\n\n\n\n
3.EvaForeEffect.m\u6587\u4ef6<\/strong><\/p>\n\n\n\n
\u7528\u4e8e\u8bc4\u4ef7\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6548\u679c\u5404\u4e2a\u91cf\u5316\u6307\u6807\u7684\u901a\u7528\u51fd\u6570\u3002\u53ef\u4ee5\u8ba1\u7b97MAE\/MSE\/MAPE\/RMSE\/R2\/R\u7b49<\/strong><\/p>\n\n\n\n
function ind = EvaForeEffect(realData,foreData,indNamesCell)\n% \u7528\u4e8e\u8bc4\u4ef7\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6548\u679c\u5404\u4e2a\u91cf\u5316\u6307\u6807\u7684\u901a\u7528\u51fd\u6570\n% \u8f93\u5165\uff1a\n% realData\uff1a\u771f\u5b9e\u503c\n% foreData\uff1a\u9884\u6d4b\u503c\n% indNamesCell\uff1a\u62df\u8fdb\u884c\u9884\u6d4b\u8bc4\u4ef7\u6307\u6807\u540d\u79f0\uff0c\u8be5\u53d8\u91cf\u4e3acell\u7c7b\u578b\uff0c\u5176\u4e2d\u5305\u542b\u7684\u6307\u6807\u540d\u79f0\u4e3a\u5b57\u7b26\u4e32\uff0c\u6307\u6807\u540d\u79f0\u5728\u4e0b\u8fb9\u5217\u8868\u4e2d\uff1a\n% \u76ee\u524d\u652f\u6301\u7684\u6307\u6807\uff082021.12.5\uff09\uff1a\n% MSE\uff1a\u5747\u65b9\u8bef\u5dee\uff08Mean Square Error\uff09\n% RMSE\uff1a\u5747\u65b9\u6839\u8bef\u5dee\uff08Root Mean Square Error\uff09\n% MAE\uff1a\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee\uff08Mean Absolute Error\uff09\n% MAPE\uff1a\u5e73\u5747\u7edd\u5bf9\u767e\u5206\u6bd4\u8bef\u5dee\uff08Mean Absolute Percentage Error\uff09\n% R2\uff1a\u51b3\u5b9a\u7cfb\u6570\uff08R2-R-Square\uff09\n% R\uff1a\u76f8\u5173\u7cfb\u6570\n% \u5982\u679c\u60f3\u83b7\u53d6MSE\u3001MAE\u4e24\u4e2a\u6307\u6807\uff0c\u5219\u8bbe\u7f6e\uff1aindNamesCell = {'MSE','MAE'}\n% \u8f93\u51fa\uff1a\n% ind\uff1a\u9884\u6d4b\u6548\u679c\u8bc4\u4ef7\u6307\u6807\u7ed3\u679c\u6570\u7ec4\uff0c\u5176\u8bc4\u4ef7\u6307\u6807\u503c\u987a\u5e8f\u4e0eindNamesCell\u4e00\u4e00\u5bf9\u5e94<\/code><\/pre>\n\n\n\n
\u4e09\u3001\u5feb\u901f\u5f00\u59cb<\/h4>\n\n\n\n
1.\u8fd0\u884c\u6d4b\u8bd5\u811a\u672c<\/strong><\/p>\n\n\n\n
\u5148\u5728MATLAB\u91cc\u6253\u5f00\u4e0b\u8f7d\u597d\u7684\u6587\u4ef6\u5939\uff0c\u7136\u540e\u8fd0\u884cscriptRegCNNs.m<\/strong>\u7a0b\u5e8f\uff0c\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u6bd5\u540e\u5982\u679c\u6ca1\u62a5\u9519\uff0c\u4e14\u6b63\u5e38\u753b\u51fa\u4e0a\u8ff0\u56fe\u50cf\uff0c\u5219\u8bf4\u660e\u8fd0\u884c\u73af\u5883\u6b63\u5e38\uff0c\u7a0b\u5e8f\u6b63\u786e\u3002<\/p>\n\n\n\n
2.\u4fee\u6539\u4eff\u771f\u6570\u636e\/\u5bfc\u5165\u6570\u636e<\/strong><\/p>\n\n\n\n
\u590d\u5236\u4e00\u4e2ascriptRegCNNs<\/strong>.m<\/strong>\u7684\u6587\u4ef6\u526f\u672c\uff0c\u5728\u8fd9\u4e2a\u526f\u672c\u91cc\u505a\u5982\u4e0b\u4fee\u6539\uff1a<\/p>\n\n\n\n
\u6839\u636e\u4f60\u7684\u6587\u4ef6\u7c7b\u578b\u7684\u4e0d\u540c\uff08excel,txt,csv\u7b49\uff09\uff0c\u5c06\u6570\u636e\u5bfc\u5165MATLAB\u7684\u65b9\u6cd5\u6709\u6240\u4e0d\u540c\u3002\u540c\u5b66\u4eec\u53ef\u4ee5\u770b\u535a\u4e3b\u9488\u5bf9\u5e38\u7528\u6587\u4ef6\u7684\u5bfc\u5165\u65b9\u6cd5\u7684\u8fd9\u4e2a\u6559\u7a0b<\/a>\uff0c\u6559\u7a0b\u4e0a\u672a\u5305\u542b\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5927\u5bb6\u53ef\u4ee5\u518d\u53c2\u8003\u8fd9\u4e2a\u6587\u6863<\/a>\u3002<\/p>\n\n\n\n
3.\u5b9e\u73b0CNN\u56de\u5f52\u9884\u6d4b<\/strong><\/p>\n\n\n\n
\u53c2\u7167\u811a\u672c\u6587\u4ef6\u4e2d\u7b2c\u4e09\u3001\u56db\u6b65\uff0c\u6839\u636e\u9700\u8981\u8c03\u6574\u76f8\u5173\u53c2\u6570\u3002<\/p>\n\n\n\n
\u8fd0\u884c\u7a0b\u5e8f\u5373\u53ef\u3002<\/p>\n\n\n\n
\u56db\u3001\u5173\u4e8e\u5b8c\u6574\u7248\u4e0e\u516c\u5f00\u7248\u4ee3\u7801<\/h4>\n\n\n\n
\u529f\u80fd<\/strong><\/td>\u5b8c\u6574\u7248<\/strong><\/td>\u516c\u5f00\u7248<\/strong><\/td><\/tr>
\u6570\u636e\u5bfc\u5165\u3001\u53c2\u6570\u8bbe\u7f6e\u3001\u5b9e\u73b0\u6ee4\u6ce2<\/td>\u221a<\/td>\u221a<\/td><\/tr>
\u8f6f\u4ef6\u5168\u90e8\u6e90\u7801\uff08\u51fd\u6570m\u6587\u4ef6\uff09<\/td>\u221a<\/td>\u00d7<\/td><\/tr>
\u753b\u56fe\u65e0\u6c34\u5370<\/td>\u221a<\/td>\u00d7<\/td><\/tr>
\u6700\u5927\u8fed\u4ee3\u6b21\u6570<\/td>\u4e0d\u9650\u5236<\/td>100<\/td><\/tr>
\u5bfc\u51fa\u9884\u6d4b\u7ed3\u679c\u3001\u8bad\u7ec3\u597d\u7684\u7f51\u7edc\u6a21\u578b\u3001\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u76f8\u5173\u53c2\u6570\uff08\u5982loss\u503c\u3001\u51c6\u786e\u5ea6\uff09\u7b49<\/td>\u53ef\u5bfc\u51fa<\/td>\u4e0d\u53ef\u5bfc\u51fa<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u4e94\u3001\u83b7\u53d6\u516c\u5f00\u7248\u7a0b\u5e8f\uff08\u9700\u4f7f\u7528\u7535\u8111\u6d4f\u89c8\u5668\u6253\u5f00\uff09<\/h4>\n\n\n\n
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CNN\u56de\u5f52\u9884\u6d4b\u4ee3\u7801\u516c\u5f00\u7248<\/h3>\n        
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\u6587\u4ef6\u5c3a\u5bf8: 44.17 KB<\/div>\n                    
\u66f4\u65b0: 20-10-2023<\/div>\n        <\/div>\n    <\/div>\n    
\n                \n                    <\/g><\/svg>\n                    \u4e0b\u8f7d<\/span>\n                <\/a>\n    <\/div>\n<\/div>\n\n\n\n\n
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\u516d\u3001\u83b7\u53d6\u5b8c\u6574\u7248\u7a0b\u5e8f\uff08\u4f7f\u7528\u7535\u8111\u6d4f\u89c8\u5668\u6216\u8005\u624b\u673a\u6d4f\u89c8\u5668\u6253\u5f00\uff09<\/h4>\n\n\n\n
\u83b7\u53d6\u901a\u9053\u4e00\uff08\u6dd8\u5b9d\uff09\uff1a<\/strong>\u70b9\u51fb\u6b64\u5904\u83b7\u53d6\u5b8c\u6574\u7248\u7a0b\u5e8f<\/a><\/p>\n\n\n\n
\u83b7\u53d6\u901a\u9053\u4e8c\uff08\u672c\u9875\u9762\uff09\uff1a<\/strong>\u70b9\u51fb\u4e0b\u9762\u201c\u7acb\u5373\u652f\u4ed8\u201d\u6309\u94ae\uff0c\u4ed8\u6b3e\u540e\u83b7\u53d6\u5b8c\u6574\u7248\u4ee3\u7801\u4e0b\u8f7d\u94fe\u63a5\u548c\u552e\u540e\u8054\u7cfb\u65b9\u5f0f~\u672c\u901a\u9053\u5904\u4e8e\u6d4b\u8bd5\u9636\u6bb5\uff0c\u4f7f\u7528\u8be5\u901a\u9053\u53ef\u4ee5\u989d\u5916\u4f18\u60e0\uff08\u4ec5\u970076\u5143\uff09\u3002\u4ed8\u6b3e\u5b8c\u6210\u540e\u5237\u65b0\u4e00\u4e0b\u672c\u9875\u9762\u5373\u53ef\u770b\u5230\u4e0b\u8f7d\u94fe\u63a5\u3002<\/strong><\/p>\n\n\n\n
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\n\t\t\t\t\u60a8\u9700\u8981\u5148\u652f\u4ed8 76\u5143<\/b> \u624d\u80fd\u67e5\u770b\u6b64\u5904\u5185\u5bb9\uff01\u7acb\u5373\u652f\u4ed8<\/a>\n\t\t\t<\/div><\/p><\/a><\/p>\n\n\n\n
\u4e03\u3001\u5b8c\u6574\u7248\u4ee3\u7801\u91cd\u8981\u66f4\u65b0<\/h4>\n\n\n\n
20231019 \u5b8c\u6210\u521d\u7248\u4ee3\u7801<\/p>\n\n\n\n
\u516b\u3001\u5e38\u89c1\u95ee\u9898<\/h4>\n\n\n\n
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