How to use learning functions of neural network toolbox ?

Is it possible to find the weight matrix dW with limited input parameters ?

for example,

in using learnh ( hebb learning function ),

dW = learnh(W,P,[],[],[],T,[],[],[],[],LP,[])

W = [ 0 0 ]; P= [ 2 2 ; 3 3]; T = [ 1 1 ];

Why am I not getting dW ? Is it mandatory to have all the parameters or is it enough to have some parameters alone ?

Please help.

Thank you for your future reply and future time.

[Dabira]

I have a similar problem. My inputs are defined and limited but I am getting an error

Answer 1

[Greg Heath]

According to both

 help learnh

and

 doc learnh

 dW = learnh([],P,[],[],A,[],[],[],[],[],LP,[])

calculates

 dW = LP.lr*A*P'

 Go back and read the help and doc documentation.

Hope this helps.

Thank you for formally acceptingmy answer

Greg