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From: ajr@eng.cam.ac.uk (Tony Robinson)
Newsgroups: comp.ai.neural-nets
Subject: Re: What good are neural nets?
Message-ID: <4383@rasp.eng.cam.ac.uk>
Date: 23 Mar 90 00:32:06 GMT
References: <68764@aerospace.AERO.ORG> <TED.90Mar21113353@kythera.nmsu.edu> <2355@rnd.GBA.NYU.EDU> <TED.90Mar21175729@kythera.nmsu.edu>
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Reply-To: ajr@eng.cam.ac.uk (Tony Robinson)
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In article <TED.90Mar21175729@kythera.nmsu.edu> ted@nmsu.edu (Ted Dunning) writes:
>so let us turn this challenge back to the normal course in scientific
>discourse, and ask if there is anything that neural nets actually do
>better than conventional approaches.

Some examples:

0) Play backgammon:  I remember reading that Tesaura's program won some
   competition in London recently.
1) Detect bombs:  At IJCNN-89 Shea and Lin presented a system for
   discriminating between suitcases with and without explosives.
2) Low level speech recognition:  There are several examples, perhaps the
   best known is Waibel with Time Delay Neural Networks (IEEE ASSP 37:3 1989).

I don't like hype either, it makes it harder to find the good work.

Tony Robinson