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From: "William " <william.henson@amec.com>
Newsgroups: comp.soft-sys.matlab
Subject: Performance function with pattern recognition in neural networks
Date: Wed, 27 Mar 2013 19:17:22 +0000 (UTC)
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Hi,

A question for anyone who might know or have an opinion.

I have set up a neural network to perform a pattern recognition (or classification) but I have found I am getting way too many false negatives compared to what I might actually get with say a Support Vector Machine set up.  One possibility I am thinking is that the SVM set up can have harsh penalties for incorrect classifications.  So, with this in mind, is there a "best" performance function for pattern recognition with neural networks??  Or am I best to say use use some function on the distance from the hyperplane (or similar)??

Cheers