MATLAB: The performance of hidden neurons

neural network

Hi all,

after several runs of the neural network to select the optimum number of hidden neurons, I found that the performance changes when the HN are within a loop rather than when it was taken one by one. why ?

thank you for your help

Best Answer

I do not understand your problem. However if you want to see examples of searching for the optimal (e.g., smallest) value of hidden nodes that will yield a specified performance, see some of my zillion examples.

Search both the NEWSGROUP and ANSWERS using

 greg Hmin dH Hmax

Hope this helps.

THank you for formally accepting my answer

Greg

Related Solutions

MATLAB: What is the difference between trainlm and trainrp

Before asking questions about any functions it is good practice to first use the MATLAB info via, e.g.,

 help trainrp
 doc  trainrp
 type trainrp

You will find reference to the terms

 resilient backpropagation algorithm and RPROP

which can be used in GOOGLE and WIKIPEDIA

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Retrain neurons

You could try

[net2 tr Y E] = train(net1,p2,t2); % Train for a new set

% However, performance of net2 on p1 may be unsatisfactory

Therefore use

[net2 tr Y E] = train(net1,[p1 p2],[t1 t2]);

Hope this helps.

Greg

Best Answer

Related Solutions

MATLAB: What is the difference between trainlm and trainrp

MATLAB: Retrain neurons

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