Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84; site peora.UUCP Path: utzoo!watmath!clyde!burl!ulysses!bellcore!decvax!decwrl!pyramid!pesnta!peora!jer From: jer@peora.UUCP (J. Eric Roskos) Newsgroups: net.arch Subject: Hopfield Networks? Message-ID: <1960@peora.UUCP> Date: Thu, 6-Feb-86 16:15:59 EST Article-I.D.: peora.1960 Posted: Thu Feb 6 16:15:59 1986 Date-Received: Sun, 9-Feb-86 05:46:30 EST Organization: Concurrent Computer Corporation, Orlando, Fl Lines: 28 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 description, it appears that the Hopfield Network is some sort of network using gates whose inputs and outputs use "true" or "false" values, but in which each input is weighted, with the gate's output yielding a "true" only if the sum of the weights for all the "true" inputs exceed some threshold value. However, the article doesn't give any further details. (Also, it said that the inputs to the gates were "analog", but didn't go on to explain how this related to their description of the gates, which they say "only transmit when the total input reaches an assigned threshold value", unless they transmit the sum of the inputs if the sum is above some value, and a zero-value otherwise, or something of that sort.) Does anybody know anything more about these Hopfield Networks? The article describes them in the context of a text-to-speech algorithm, and suggests that the network is "programmed" (in some algorithmic manner) by adjusting the weights on the inputs of the various gates somehow. Apparently the interconnections are fixed, but neither the topology nor the algorithm for adjusting the weights is given. -- UUCP: Ofc: jer@peora.UUCP Home: jer@jerpc.CCUR.UUCP CCUR DNS: peora, pesnta US Mail: MS 795; CONCURRENT Computer Corp. SDC; (A Perkin-Elmer Company) 2486 Sand Lake Road, Orlando, FL 32809-7642 xxxxx4xxx "There are other places that are also the world's end ... But this is the nearest ... here and in England." -TSE