隨機生成x1,x2,然后訓練y(x1,x2)=sin(a*pi*x1)cos(b*pi*x2)。當運行到net = train(net,P,T); 報錯：??? Error using ==> subsindexFunction 'subsindex' is not defined for values of class 'network'.Error in ==> test at 20net = train(net,P,T); 求問如何使用train去訓練多維input的情況？程序如下train=rand(100,2)*2-1;traindata=[trainx1,trainx2,sin(0.4*pi.*trainx1).*cos(0.8*pi.*trainx2)];% Construct training signal P and T P=traindata(:,1:2)'; T=traindata(:,3)'%Plot training signal i=find(T>0.5); j=find(T<=0.5); x=P(1,i); y=P(2,i); x1=P(1,j); y1=P(2,j); plot(x,y,'o',x1,y1,'+') %Push a key to continue disp('Push a key to continue') pause %Define a neural network and train it with the training data net = newff([-0.5 0.5; -0.5 0.5], [18 1], {'tansig' 'logsig'}); net.trainParam.epochs = 5000; net = train(net,P,T); %Generate input data randomly x2=rand(1,5000)-0.5; y2=0.8*rand(1,5000)-0.4; P2=[x2;y2]; %Simulate the trained network T2 = sim(net,P2); %Check the generalization ability of the trained network ii=find(T2>0.5) plot(x,y,'o',x1,y1,'+',x2(ii),y2(ii),'o')謝謝。