Validation dataset for Probablistic Neural Network

Hello. I am trying to apply Probabilistic Neural Network on a dataset. The command for Training on a dataset is: "net=newpnn(Train_Data,Train_targets,spread)" The problem I am facing is that it over trains on dataset. This can be prevented by using some of instances for Validation. But I do not know, how to define validation dataset before the training of PNN. Like we can define for patternnet and fitnet before their training: net.divideFcn = 'dividerand' I am facing the same problem with "newrb". Can anyone help me in defining validation dataset before training so that over training can be avoided.

Answer 1

[Greg Heath]

NEWPNN is not used with a val set to prevent overtraining an overfit net.

For info on designing with NEWPNN search previous posts

 SEARCH             NEWSGROUP    ANSWERS

 newpnn  greg          29          13

 newpnn                47          29

Hope this helps.

Thank you for formally accepting my answer

Greg

[Khawaja Asim]

Can you please post the exact link of the post for PNN?

[Greg Heath]

As I have posted above, there are 76 posts for newpnn. You will have to search through them to find what you need.

Greg