is following matlab code for calulating mse for k-fold cross validation neural network is correct

output123=net(trainMatrix{i}(:,1:2)'); errors=gsubtract(trainMatrix{i}(:,3)',output123); performance=perform(net,trainMatrix{i}(:,3)',output123); trainTargets = trainMatrix{i}(:,3)'.*tr.trainMask{1}; testTargets = trainMatrix{i}(:,3)' .*tr.testMask{1}; trainPerformance = perform(net,trainTargets,output123); testPerformance = perform(net,testTargets,output123); test(k)=testPerformance;

[Greg Heath]

 PLEASE FORMAT !!!

No one is going to check your code unless you apply it to MATLAB example data for comparison

 help nndatasets
 doc nndatasets

See for example

http://www.mathworks.com/matlabcentral/newsreader/view_thread/340857#934329

Hope this helps.

Greg