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Subject: Re: Neural Networks Cant Generalize..Results error in New Data
Date: Thu, 11 Sep 2008 10:00:05 +0000 (UTC)
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Greg Heath <heath@alumni.brown.edu> wrote in message <8436a506-ab26-4400-b349-3e2649bd757c@26g2000hsk.googlegroups.com>...
> On Sep 4, 8:48=A0am, "zaheer ahmad" <ahmad.zah...@yah00000.com> wrote:
> > Hi all of you.
> > i got a problem inNeural=A0Networks.my net doesnt produce
> > required results when new data( test ) data is applied.it is
> > 100% good in memorization..im not what =A0is the problem, can


Besides the technical training suggestion... what do you mean by 'new data'?  how is the 'new data' related to the training data?  nn's are not great generalizers, they do essentially memorize patterns they are trained with and then take unknown patterns and figure out how they fit into the set of known patterns.  i.e. if you train a nn with images for 'A' 'B' 'C' then present it with unknown image 'a' or 'b' it might perform poorly, but is may match up 'c' because it is basically the same shape as 'C'.