Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!uunet!mcsun!ukc!warwick!esrmm From: esrmm@warwick.ac.uk (Denis Anthony) Newsgroups: comp.ai.neural-nets Subject: Re: Are Conjugate Gradient algorithms any good? Keywords: NETtalk, Conjugate Gradient algorithms, Back-propagation Message-ID: <8PH&R=*@warwick.ac.uk> Date: 13 Mar 91 11:59:49 GMT References: <91Mar7.145659edt.437@neuron.ai.toronto.edu> <9682@exodus.Eng.Sun.COM> Sender: news@warwick.ac.uk (Network news) Organization: Computing Services, Warwick University, UK Lines: 21 Nntp-Posting-Host: clover In article <9682@exodus.Eng.Sun.COM> landman@hanami.Eng.Sun.COM (Howard A. Landman) writes: > >Does anyone have any insights on methods for handling large amounts >of training data efficiently? > Data compression of input set using auto-associative neural nets as in %Q Cottrell G.W %D 1990 %T Face Recognition Using Feature Extraction %J INNS Int. Neural Networks Conference %V 1 %P 322-325 or using principal components to do same thing as in %Q Anthony D.M, Hines E.L, Taylor D, and Barham J %D 1989 %T A Study of Data Compression using Neural Networks and Principal Component Analysis (IEE Coloquiuum on Biomedical Applications of Digital Signal Processing) %P 2/1-2/4