cmlp.asv

for MLP neural network.

clc
close all;
clear all;
%------------------------------------------------ input variable
load('KFData3');
%------------------------------------------------ Combine the Data
[P,T] = Combine_Data(P,T);
%------------------------------------------------ constant
ETAO=.9;
ETAI=.6;
ALPHA=0.1;
sizep=size(P);
Iteration=200;%input('number of replay');
NTmp=minmax(P);
P=NormInData(P);
P(size(P,1)+1,:)=1;%+1 is for bias
%-----------------------
NumRun=1;
D=[size(P,1) 50 10];
NumNet=1;
%-----------------------
for RC=1:NumRun
    [WI WO]=InitiateWeight(D,NumNet);    
    [WI WO]=UpdateWeight(P,T,PT,TT,WI,WO,D,ETAI,ETAO,ALPHA,NTmp,NumNet,Iteration);
    [Per(RC ConfMat{RC} DExperts{RC}]=testPhase(WI,WO,PT,TT,NTmp,NumNet);
end