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From: ehj@mordor.UUCP (Eric H Jensen)
Newsgroups: net.arch,net.ai
Subject: Re: Hopfield Networks?
Message-ID: <5413@mordor.UUCP>
Date: Fri, 7-Feb-86 15:13:13 EST
Article-I.D.: mordor.5413
Posted: Fri Feb  7 15:13:13 1986
Date-Received: Sun, 9-Feb-86 07:18:32 EST
References: <1960@peora.UUCP>
Reply-To: ehj@mordor.UUCP (Eric H Jensen)
Organization: S-1 Project, LLNL
Lines: 16
Xref: watmath net.arch:2486 net.ai:3265

In article <1960@peora.UUCP> jer@peora.UUCP (J. Eric Roskos) writes:
>In a recent issue (Issue 367) of EE Times, there is an article titled
>"Neural Research Yields Computer that can Learn".  This describes a
>simulation of a machine that uses a "Hopfield Network"; from the ...

I got the impression that this work is just perceptrons revisited.
All this business about threshold logic with weighting functions on
the inputs adjusted by feedback (i.e. the child reading) ...

Anybody in the know have a comment?


-- 
eric h. jensen        (S1 Project @ Lawrence Livermore National Laboratory)
Phone: (415) 423-0229 USMail: LLNL, P.O. Box 5503, L-276, Livermore, Ca., 94550
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