Xref: utzoo comp.ai.neural-nets:687 sci.chem:238 Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!ames!hc!lanl!opus!ted From: ted@nmsu.edu (Ted Dunning) Newsgroups: comp.ai.neural-nets,sci.chem Subject: Re: Neural Net Applications in Chemistry Message-ID: Date: 10 May 89 19:07:44 GMT References: <1989May10.095408.5836@gpu.utcs.utoronto.ca> Sender: news@nmsu.edu Followup-To: comp.ai.neural-nets, sci.chem Distribution: na Organization: NMSU Computer Science Lines: 11 In-reply-to: dtinker@gpu.utcs.utoronto.ca's message of 10 May 89 15:09:44 GMT alan lapedes and co at los alamos were able to predict whether short sequences of dna coded for specific proteins with good accuracy using modified neural nets. 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).