how to optimize neural network thyroid example using genetic algorithm?

2016 2 6
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更新时间：2016 2 7
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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
Greg Heath 2016-2-7
编辑：Greg Heath 2016-2-7

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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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koorosh
koorosh 2016-2-7
thank's for your help ,
look , as you know thyroid example have thyroidInputs - a 21x7200 matrix consisting of 7200 patients characterized by 15 binary and 6 continuous patient attributes. thyroidTargets - a 3x7200 matrix of 7200 associated class vectors defining which of three classes each input is assigned to. Classes are represented by a 1 in row 1, 2 or 3 ;1. Normal, not hyperthyroid 2. Hyperfunction 3. Subnormal functioning
i changed my mind and set hiddenLayer to one , now my case is to choose best size for this hidden layer by help of ga . ( 2?3?4?5?....? )
I've tried and create function named function percentErrors=Kfitfun(hiddenLayerSize)
and statement in commond windows like ga(kitfun,1) , but it does'nt work .
Greg Heath
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
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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