AW: OCTAVE: NN Tool box

[address@hidden]

Hi,

I'm not sure if I understand you correctly.

I would say a "represantation" of your network could be written as:


NT =sum[ (w2 * x2)]*transferFunction + sum[(w1 * I)]*transferFunction 

where are: w2 / w1 the layer weights depending 
on the layer, means w2 is the second layer weight matrix, w1 is the input layer 
weight matrix and so on
where are: x2 / 
x1 (or I) are the inputs to the corresponding weight matrix ...
transferFunction can be chosen...

in your case:

NT = 
sum[(w2*x2)]*purelin + sum[w1*I]*tansig 

in the wwware a lot of informations about the network.

If you need more help, please write a little bit more detailed 
what you are searching for ...

regards

Michael


Dear all,

I have been exploring octave's neural network tool box. I 
have a question.
For an input array 'I', with the corresponding target array 'T', I have a
neural network fitted target 
array 'NT'. 

This is the fitting scheme which I used 

net=newff( [Imin Imax], [10 1], {'tansig', 'purelin'});

with 
sufficiently large net.trainParam.epochs. 

How can I represent the fitted array 'NT' as a function of the input array

'I'. This must involve using the functions 'tansig', 'purelin' which I used
for the hidden and output layer and also 
the number of layers. 

Thank you in advance for any help.

regards,
octuser
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