Validation dataset for Probablistic Neural Network
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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.
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Greg Heath
2015-12-12
NEWPNN is not used with a val set to prevent overtraining an overfit net.
For info on designing with NEWPNN search previous posts
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newpnn greg 29 13
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Hope this helps.
Thank you for formally accepting my answer
Greg
2 个评论
Khawaja Asim
2015-12-12
Greg Heath
2015-12-16
As I have posted above, there are 76 posts for newpnn. You will have to search through them to find what you need.
Greg
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