How to use learning functions of neural network toolbox ?
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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.
1 Commento
Dabira
il 30 Apr 2014
I have a similar problem. My inputs are defined and limited but I am getting an error
Risposta accettata
Greg Heath
il 1 Mag 2014
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
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