how to optimize neural network thyroid example using genetic algorithm?

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koorosh - 2021-07-30T12:36:12+00:00
Question: how to optimize neural network thyroid example using genetic algorithm?

i'm trying to to optimizing thyroeid example by pattern recognition . i wana modify hidden layer size , and i want it from ga function , in default way is : hiddenLayerSize = [4 5 ] ; net = patternnet(hiddenLayerSize); now i want hiddenLayerSize get from ga func , that gaves me minimum and optimal number of neuron .  

Expert Answer

Profile picture of Prashant Kumar Prashant Kumar answered . 2025-11-20

Are you sure you want the complexity of 2 hidden layers?
 
One is sufficient.
 
How many input/target pairs? N =
 
Input vector dimensionality? I =
 
Number of classes ? c =
 
Are target columns also columns of eye(c)?
 
Default datadivision? Ntrn/Nval/Ntst = (0.7/0.15/0.15)*N
 
Are the No. of training equations Ntrneq = Ntrn*c
 
greater than number of unknown weights?
 
 Nw = (I+1)*H+(H+1)*c      % One hidden layer

 Nw = (I+1)*H1+(H1+1)*H2+(H2+1)*c % Two hidden layers?

Search both the NEWSGROUP and ANSWERS using

 PATTERNNET GENETIC

And

 PATTERNNET GA

 


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