Cross Validation in Neural Network ?

Question

Narges Sedre 2018-12-4

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/433834-cross-validation-in-neural-network

回答： Greg Heath 2018-12-5

i want to do a cross validation 10% of the data should be for training and the rest is for test .

i dont know how to perform that.

filename='FIFA7.xlsx';
A =xlsread(filename);
[m,n]=size(A);
T= A(:,1);
data= A(:,(2:end));
rows80=int32(floor(0.8 * m));
trainingset=A(1:rows80,:);
testset=A(rows80+1:end,:);
t=trainingset(1:rows80,1);
t_test=A(rows80+1:end,1);
  
%    k=10
%    cvFols=crossvalind('kfold',l,k);
%    for i =1:k
%        testIdx=(cvFolds==i);
%        trainIdx=~test;
%    
%        
net= newff(trainingset',t');
y=sim(net,trainingset');
%net.trainParam.epoch=20;
net= train(net,trainingset',t');
y=sim(net,trainingset');
y_test=sim(net,testset');
 p=0;
  y1=hardlim(y');
   y2= hardlims(y_test);
  for(i=1:size(t,1))
      if(t(i,:)==y1(i,:))
     p=p+1;
      end
  end
  
  
 trainerror =100*p/size(trainingset,1);
  e=0;
  y2=hardlim(y_test');
 for(j=1:size(t_test,1))
    if(t_test(j,:)==y2(j,:))
         e=e+1;
   end
 end
 
   testerror=100*e/size(t_test,1)