Path: utzoo!attcan!uunet!decwrl!shelby!portia.stanford.edu!wan
From: wan@portia.Stanford.EDU (Eric Wan)
Newsgroups: comp.ai.neural-nets
Subject: survey of second order techniques
Message-ID: <1990Aug20.183056.20068@portia.Stanford.EDU>
Date: 20 Aug 90 18:30:56 GMT
Sender: wan@portia.Stanford.EDU (Eric Wan)
Organization: AIR, Stanford University
Lines: 14



I am compiling a study on the extent to which researches have gone
beyond simple gradient descent (back-propagation) for training
layered neural networks by applying more sophisticated classical
techniques in non-linear optimization (e.g. Newton, Quasi-Newton,
Conjugate-Gradient methods, etc.)?  Please e-mail me any comments
and/or references that you have on the subject.  I will summarize 
the responses.

Thanks in advance.

Eric Wan  
wan@isl.stanford.edu