How can I implement my own custom performance function

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Omer
Omer 2014-1-29
Hi All,
I am using nn toolbox functions to create a neural network for classification purpose (2 output neuron). Instead of using standard performance function to be optimized, I want to use my own. Such that my performance function will be:
( fp/(fp+tn) ) + ( fn/(fn+tp) );
where
  • tp: true positive
  • fn: false negative
  • and so on
of course output y of the network must be converted to 0 or 1. maybe like this:
yPred = ( y(:,1) > y(:,2) );
how can I do this with using newpr or newff?
any help appreciated Thanks

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