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From: boleyn@grasp.cis.upenn.edu (Rodney L. Boleyn)
Newsgroups: comp.ai.neural-nets
Subject: Re: Neural Nets with continuous valued outputs.
Message-ID: <31425@netnews.upenn.edu>
Date: 19 Oct 90 20:35:52 GMT
References: <6327@rnd.GBA.NYU.EDU>
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In article <6327@rnd.GBA.NYU.EDU> hjohar@rnd.GBA.NYU.EDU (unknown) writes:
Newsgroups: comp.ai.neural-nets
Subject: Re: Neural Nets with continuous valued outputs.
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Reply-To: boleyn@grasp.cis.upenn.edu.UUCP (Rodney L. Boleyn)
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In article <6327@rnd.GBA.NYU.EDU> hjohar@rnd.GBA.NYU.EDU (unknown) writes:
>Does anyone have any references on designing neural-nets that provide
>continuous valued outputs? I've only seen papers on classifiers. If
>you can provide pointers to papers, I'll be grateful.
>Reply to hjohar@rnd.gba.nyu.edu
>
>Thanks
>
>Hardeep

I have in my hand a paper entitled "A Synthesis Procedure for Hopfield's
Continuous-Time Associative Memory," which appeared in the IEEE
Transactions on Circuits and Systems, Vol. 37, No. 7, July 1990.

I haven't read it yet, but the claims made in the abstract are pretty
amazing.  It sounds like it fits your desired topic, too.


-Rodney   (boleyn@grasp.cis.upenn.edu)