Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/5/84; site ssc-vax.UUCP Path: utzoo!watmath!clyde!burl!ulysses!bellcore!decvax!tektronix!uw-beaver!fluke!ssc-vax!dickey From: dickey@ssc-vax.UUCP (Frederick J Dickey) Newsgroups: net.arch Subject: Re: Hopfield Networks? Message-ID: <562@ssc-vax.UUCP> Date: Fri, 14-Feb-86 15:05:29 EST Article-I.D.: ssc-vax.562 Posted: Fri Feb 14 15:05:29 1986 Date-Received: Mon, 17-Feb-86 06:01:32 EST References: <417@cubsvax.UUCP> Organization: Boeing Aerospace Co., Seattle, WA Lines: 45 > In article 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"; > ... > >Does anybody know anything more about these Hopfield Networks? > ... > > Probably refers to the work of John Hopfield, a solid-state physicist, formerly > of Princeton, now of Cal Tech, whose recent interests are in biophysics. > In the 70's he did a number of influential studies on hemoglobin and on > error-correction in DNA transcription ("kinetic proofreading"); in the > 80's he's been interested in modelling nerve networks; I don't know what a > Hopfield network is, but he publishes in places like J. Mol. Bio., Nature, > Pro. Nat'l. Acad. Sci. and probably Biophysical Journal. He's eminent. > If you find out, tell us! > > Peter Shenkin; {philabs,rna}!cubsvax!peters or cubsvax!peters@columbia.ARPA **************************************************** A reference is the following: J.J. Hopfield "Neural networks and physical systems with emergent collective computational abilities." Proc. Nat. Acad. of Sciences USA, 1982, 79, pp. 2554- 2558. A reference on similar work is the following: G. Hinton, "Boltzmann Machines" Carnegie-Mellon Tech Rpt CMU-CS-84-119, May, 1984. The following reference is helpful in understanding the previous reference. S. Kirkpatrick et al. "Optimization by Simulated Annealing." Science, 13 May 1983, vol 220, no 4598, pp. 671-680. If you read all this stuff, you will see that Hopfield networks are not "perceptrons revisted." F.J. Dickey Boeing Aerospace Co. Seattle, WA