how to optimize neural network thyroid example using genetic algorithm?
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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 .
is there anywat to omplent this case, tnx and srry for my broken english (
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Greg Heath
2016-2-7
编辑:Greg Heath
2016-2-7
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
Hope this helps.
Thank you for formally accepting my answer
Greg
PS: Searching with GA or Genetic and NEURAL, FITNET or FEEDFORWARDNET might help also.
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Greg Heath
2016-2-7
I am using a borrowed computer without MATLAB. I don't even know if I have the GA Toolbox on my own machine.
Anyway, I have done some limited NEURAL searches with GENETIC and GA. Somewhat dissapointing. However, the searchword EVOLUTIONARY has proved to be a little more fruitful.
More later.
Greg
Greg Heath
2016-2-7
WHOOPS: I meant to say PATTERNNET GA & GENETIC SEARCHES IN ANSWERS.
Changing PATTERNNET to NEURAL makes a HUGE difference.
SORRY
GREG
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