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From: aboulang@bbn.com (Albert Boulanger)
Newsgroups: comp.ai.neural-nets,comp.ai
Subject: Re: Learning arbitrary transfer functions
Message-ID: <32183@bbn.COM>
Date: 11 Nov 88 16:33:46 GMT
References: <399@uvaee.ee.virginia.EDU>
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In-reply-to: aam9n@uvaee.ee.virginia.EDU's message of 10 Nov 88 18:54:52 GMT

Check out the following report:

"Nonlinear Signal Processing Using Neural Networks:
Prediction and System Modelling"
Alan Lapedes and Robert Farber
Los Alamos Tech report LA-UR-87-2662

There was also a description of this work at the last Denver
conference on Neural Networks. Lapedes has a nice demonstration of
recovering the logistic map given a chaotic time series of the map. He
has also done this with the Macky-Glass time-delay equation.
It is rumored that techniques like this (Doyne Farmer as well as James
Crutchfield have non neural-based dynamical-systems techniques for
doing this, cf "Equations of Motion From a Data Series, James
Crutchfield & Bruce McNamera, Complex Systems, Vol #3, June 1987,
417-452.) are being used by companies to predict the stock market.

Albert Boulanger
BBN Systems & Technologies Corp.
10 Moulton St.
Cambridge MA, 02138
aboulanger@bbn.com