Xref: utzoo comp.ai.neural-nets:690 sci.chem:240
Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!ames!oliveb!apple!voder!berlioz!andrew
From: andrew@berlioz (Lord Snooty @ The Giant Poisoned Electric Head)
Newsgroups: comp.ai.neural-nets,sci.chem
Subject: Re: Neural Net Applications in Chemistry
Summary: request for info
Message-ID: <201@bach.nsc.com>
Date: 11 May 89 01:47:22 GMT
References: <1989May10.095408.5836@gpu.utcs.utoronto.ca> <TED.89May10130744@kythera.nmsu.edu>
Distribution: na
Organization: National Semiconductor, Santa Clara
Lines: 15

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?
-- 
Andrew Palfreyman 		USENET: ...{this biomass}!nsc!logic!andrew
National Semiconductor M/S D3969, 2900 Semiconductor Dr., PO Box 58090,
Santa Clara, CA 95052-8090 ; 408-721-4788 		there's many a slip
							'twixt cup and lip