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 .
ANSWER
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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
SEE COMPLETE ANSWER CLICK THE LINK
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