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¡¾ÇóÖú¡¿matlabÉñ¾ÍøÂçÔËÐдíÎó£¬Targets are incorrectly sized for network.°ï°ïæ
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clc clear p=[22.79 2.15 4.45;17.65 1.64 1.76;21.00 1.79 2.35;15.78 1.72 3.78;25.12 1.68 4.29;18.18 1.81 5.61;26.49 1.45 6.51;17.36 1.59 4.67];%ÊäÈëÊý¾Ý£¬¹²8×飬ÿ×é3¸öÊäÈë t=[0.21 0.21 0.21 0.18 0.18 0.15 0.18 0.17];%Êä³öÊý¾Ý£¬¹²8×飬ÿ×é1¸öÊä³ö %P£¬T·Ö±ð±íʾ¹éÒ»»¯ºóµÄÊäÈëÊä³öÏòÁ¿ for i=1:3 P(i, =(p(i, -min(p(i, ))/(max(p(i, )-min(p(i, ));end T=(t-min(t))/(max(t)-min(t)); % ÉèÖÃÍøÂç²ÎÊý NodeNum1 = 3; % Òþ²ãµÚÒ»²ã½ÚµãÊý NodeNum2=8; % Òþ²ãµÚ¶þ²ã½ÚµãÊý TypeNum = 1; % Êä³öάÊý TF1 = 'tansig';TF2 = 'tansig'; TF3 = 'tansig';%¸÷²ã´«Ê亯Êý£¬TF3ΪÊä³ö²ã´«Ê亯Êý net=newff(minmax(P),[NodeNum1,NodeNum2,TypeNum],{TF1 TF2 TF3},'traingdx');%´´½¨Èý²ãBPÍøÂç %--------------------------------------------------- % ÉèÖÃѵÁ·²ÎÊý net.trainfcn='traingdm'; %[net,tr] = train(net,trainSamples.P,trainSamples.T,[],[],validateSamples,testSamples); [net,tr] = train(net,P,T); ÎÊÌ⣺??? Error using ==> network.train Targets are incorrectly sized for network. Matrix must have 3 columns. Error in ==> test at 24 [net,tr] = train(net,P,T); >> ÕâÊÇÎªÊ²Ã´ÄØ£¿ÄǸö¸ßÊÖ°ïÎÒ¿´¿´ |
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clc clear P=[22.79 2.15 4.45; 17.65 1.64 1.76; 21.00 1.79 2.35; 15.78 1.72 3.78; 25.12 1.68 4.29; 18.18 1.81 5.61; 26.49 1.45 6.51; 17.36 1.59 4.67];%ÊäÈëÊý¾Ý£¬¹²8×飬ÿ×é3¸öÊäÈë t=[0.21 0.21 0.21 0.18 0.18 0.15 0.18 0.17];%Êä³öÊý¾Ý£¬¹²8×飬ÿ×é1¸öÊä³ö %P£¬T·Ö±ð±íʾ¹éÒ»»¯ºóµÄÊäÈëÊä³öÏòÁ¿ P(:,1)=(P(:,1)-min(P(:,1)))/(max(P(:,1))-min(P(:,1))); P(:,2)=(P(:,2)-min(P(:,2)))/(max(P(:,2))-min(P(:,2))); P(:,3)=(P(:,3)-min(P(:,3)))/(max(P(:,3))-min(P(:,3))); P=P'; T=(t-min(t))/(max(t)-min(t)); % ÉèÖÃÍøÂç²ÎÊý net=newff(P,T,3,{'tansig', 'purelin' },'traingdx');%´´½¨Èý²ãBPÍøÂç %--------------------------------------------------- % ÉèÖÃѵÁ·²ÎÊý net.trainParam.cm=0.9; net=train(net,P,T); |
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