Path: utzoo!attcan!uunet!jarthur!usc!zaphod.mps.ohio-state.edu!sol.ctr.columbia.edu!cunixf.cc.columbia.edu!cs.columbia.edu!fahn From: fahn@cs.columbia.edu (Paul N. Fahn) Newsgroups: comp.ai.neural-nets Subject: Re: Any good examples of Boltzmann Learning algorithms? Message-ID: <1990Dec11.043315.1850@cs.columbia.edu> Date: 11 Dec 90 04:33:15 GMT References: <2386.2763f7de@iccgcc.decnet.ab.com> Sender: news@cs.columbia.edu (The Daily News) Reply-To: fahn@hudson.columbia.edu (Paul N. Fahn) Followup-To: comp.ai.neural-nets Organization: Columbia University Department of Computer Science Lines: 27 In article <2386.2763f7de@iccgcc.decnet.ab.com> milikich@iccgcc.decnet.ab.com (Mike Milikich, Allen-Bradley Company) writes: >Connectionists, PDPers, and whomever else is reading this : > > I am struggling to implement a simple Boltzmann Machine Learning >algorithm. If anyone can guide me to good references which deal with learning >by simulated annealing, or has some sample code which might be helpful, I >would be tremendously appreciative. I have already read Chapter 7 in >"Parallel Distributed Processing" Vol. I (Hinton and Sejnowski), and it only >served to cloud my understanding. Email to the address below is fine - I will >summarize if I get enough response. Thanks in advance!!! > >Mike > You can try looking at "Simulated Annealing and Boltzmann Machines", by Aarts and Korst, Wiley, 1989. But they basically give a more detailed presentation of Hinton and Sejnowski's learning algorithm, with more mathematical background. I don't know what you mean by `learning by simulated annealing'. Why don't you post (or email me) specific questions about the H&S algorithm. Perhaps I can answer them, as I've been thinking about these things lately. I've never coded it, though, so no promises. .Paul. fahn@cs.columbia.edu