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How can I find the right neural network architecture

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How can I find the right neural network architecture

nitin_ch asked: neural network , levenberg-marquard... , baysian regularisa...

Struggling to find the right neural network architecture? Our guide provides practical strategies & resources for optimizing your NN design. Learn more now!

Expert Answer

Profile picture of Prashant Kumar Prashant Kumar answered . 2025-07-06 02:13:07

Search the NEWSREADER and ANSWERS using
 
 
   fitnet Hmin Hmax Ntrials

Minimization of the number of hidden nodes subject to the MSEtrn upper bound

 MSEtrn <= 0.01*mean(var(targettrn',1))

        <= 0.01*var(targettrn,1) for 1-dim
this yields a training subset Rsquaretrn exceeding 0.99.
 
Many of the posts don't have the training subset subscript trn and/or may have used t instead of target. So, there are probably a jillion variations posted including
 MSEgoal = 0.01*vart1

The best way I have found to obtain relatively unbiased results is to use 2 loops.

 1. Outer loop over # of hidden nodes Hmin:dH:Hmax 
    with Hmax <= Hub, the upper bound for not 
   having more unknown weights, Nw, than training 
    equations Ntrneq. 

 2. Inner loop over Ntrials >= 10 different 
    random distributions of initial weights.
Nets are initially ranked by their validation subset performance. Then unbiased estimates of performance are obtained from the test subset performance.
However, I usually rank the nets by their combined nontraining validation AND test subset performance.
Again, I have jillions of examples posted in the NEWSREADER and ANSWERS. The best search words are probably
        Hmin Hmax Ntrials


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