Neural Network fitting toolbox (nftool). Input-output fitting problem.

In MATLAB while using Neural fitting toolbox (nftool) for solving input-output mapping problem we have to divide samples for “Training, Validation and Testing”. For developing the network we need to train the samples. But if we retrain the samples nftool takes new samples every time. Is there any way by which we can fix the samples for “Training, Validation and Testing”? I don’t want to change my samples every time I run my nftool code.

Answer 1

[Greg Heath]

 help divideind
 doc divideind

and

 https://www.google.com/?gws_rd=ssl#q=divideind

Hope this helps.

Thank you for formally accepting my answer

Greg

[Prabhav Borate]

Ok. I will try . thank you very much.