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From: black@beno.CSS.GOV (Mike Black)
Newsgroups: comp.ai.neural-nets
Subject: Re: Networks for pattern recognition problems?
Message-ID: <49007@seismo.CSS.GOV>
Date: 20 Jul 90 23:29:37 GMT
References: <23586@boulder.Colorado.EDU> <5856@jhunix.HCF.JHU.EDU> <8462@ur-cc.UUCP> <5874@jhunix.HCF.JHU.EDU>
Sender: news@seismo.CSS.GOV
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I know of one example where a Boltzman machine implementation out-performed
more traditional methods.  I don't have the report by me, but I seem to recall
that instead of classifying about 55-60% of the set, the neural net did in
the 70-75% range.  This data was the fourier spectrum of doppler radar done
with tanks and jeeps.  The objective was to properly classify each.  A company
local to me (Computer Science Innovations in Palm Bay, Florida) picked up
this project after the original contractor had given up with more traditional
methods.  This was definitely an example where the neural net performed better.
If anyone would like some more info I can pass requests on to the principal
investigator that did the implementation.
Mike...
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