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From: aboulang@bbn.com (Albert Boulanger)
Newsgroups: comp.ai.neural-nets,sci.chem
Subject: Re: Neural Net Applications in Chemistry
Message-ID: <39817@bbn.COM>
Date: 11 May 89 15:26:47 GMT
References: <1989May10.095408.5836@gpu.utcs.utoronto.ca> <TED.89May10130744@kythera.nmsu.edu> <201@bach.nsc.com>
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In-reply-to: andrew@berlioz's message of 11 May 89 01:47:22 GMT

In article  <201@bach.nsc.com> Andrew Palfreyman asks:

  In article <TED.89May10130744@kythera.nmsu.edu>, ted@nmsu.edu (Ted Dunning) writes:
  > much of the work at lanl using neural net methods has been supplanted
  > by doyne farmers local approximation method which (for many problems)
  > is several orders of magnitude more computationally efficient.  the
  > use of radial basis functions improves the value of this method
  > considerably (in addition to making the link to nn techniques even
  > stronger). 

  This is very interesting, Ted. Could you post some references to the net
  on Doyne Farmer's method, and perhaps a brief resume of his approach?
  -- 

I should mention that besides Doyne Farmer's method, James Crutchfield
and Bruce S. McNamara have a method for recovering the equations of
motion from a time series. The reference is:

"Equations of Motion from a Data Series", James Crutchfield & Bruce
McNamara, Complex Systems, 1(1987) 417-452.

Unfortunately, I never did get a reference to Doyne's method.


Chaotically yours,
Albert Boulanger
BBN Systems & Technologies Corp.
aboulanger@bbn.com