Neural networks toolbox, error weights, get an error

Hello!

I'm trying to run the following script

x=eye(12);

t = [0 1 1 0 1 0 0 0 1 1 0 1];

ew = (t==0)*0.5 + (t==1);

net = feedforwardnet(10);

net = configure(net,x,t);

net = train(net,x,t,[],[],ew);

And i got an error message ??? Error using ==> trainlm at 109 Inputs and input states have different numbers of samples.

Error in ==> network.train at 107 [net,tr] = feval(net.trainFcn,net,X,T,Xi,Ai,EW,net.trainParam);

Error in ==> Untitled at 7 net = train(net,x,t,[],[],ew);

Without the ew parameter it works pretty good:

net = train(net,x,t);

The question is, how can I properly set error weights for targets? I use MATLAB 2010b.

In fact I tried to run an example from here http://www.mathworks.de/matlabcentral/answers/2868-neural-network-performance-function-weighted-sse-and-false-alarms

Thank you in advance, Leonid

[PALASH MONDAL]

My dear as your mention code above is now perfectly running on Matlab 2017a without any modification. There is no error as you mention as line wise.

Answer 1

[Francois]

Contacted Mathworks,

this is the right code

[net,tr] = train(net,x,t,{},{},EW);

I used it, and it works great!

[Nuno]

Yes, this is right code... Don't understand error...

[Leonid]

Thank you!

Answer 2

[Francois]

I have the same problem,

[net,tr] = train(net,x,t,[],[],EW);

??? Error using ==> trainlm at 109

Inputs and input states have different numbers of samples.

Error in ==> network.train at 107

[net,tr] = feval(net.trainFcn,net,X,T,Xi,Ai,EW,net.trainParam);

the problem is not with EW but with Xi and Ai, and this is not easy to write. If someone has done it before an example would be appreciated!

[Friedrich]

looks like an empty cell {} is needed instead of an emtpy array [],