Different matrix dimention of input and target in neural networks?

Why couldn't I get the network to work with a 1x250 input and a 2x250 target? When the input and target are both a 2x250 matrix the program worked just fine. My inputs and targets are taken from excel. I didn't know how to fix this problem.

This is the code: Ptr=xlsread('liaa(10s).xlsx','sheet1','I3:I252');

T=xlsread('liaa(10s).xlsx','sheet1','G3:H252');

net=newff(Ptr,T,4,{'logsig','purelin'},'trainlm','learngdm');

net.trainParam.lr=0.5; net.trainParam.epochs=25; net.trainParam.goal=1e-10;

[net,tr]=train(net,Ptr,T);

and the error said: ??? Error using ==> network.train at 146 Targets are incorrectly sized for network. Matrix must have 1 columns.

Error in ==> training_lia at 11 [net,tr]=train(net,Ptr,T);

[Geoff Hayes]

Amalia - if you are observing an error, then please include the error message and any text that is relevant. Including a portion of your code that, when executed, generates the error would be helpful too.

Answer 1

[Greg Heath]

You may have to transpose your data

Check dimensions

 [ I N ] = size(input) % [ 1 250]
 [ O N ] = size(target)% [ 2 250 ]

P.S. To simplify your code, use default parameters whenever possible. See the examples in

 help newff

 doc newff

Hope this helps.

Thank you for formally accepting my answer

Greg

[Amalia]

THIS HELPS! thank you very much :)