Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!zaphod.mps.ohio-state.edu!unix.cis.pitt.edu!dsinc!netnews.upenn.edu!eniac.seas.upenn.edu!ferris From: ferris@eniac.seas.upenn.edu (Richard T. Ferris) Newsgroups: comp.ai.neural-nets Subject: Re: References wanted on Measure and Probablity Summary: A few possibilities Message-ID: <21740@netnews.upenn.edu> Date: 15 Mar 90 11:43:59 GMT References: <1990Mar7.130350.21423@newcastle.ac.uk> <2945@umbc3.UMBC.EDU> Sender: news@netnews.upenn.edu Reply-To: ferris@eniac.seas.upenn.edu.UUCP (Richard T. Ferris) Distribution: comp.ai.neural-nets Organization: University of Pennsylvania Lines: 16 In article <2945@umbc3.UMBC.EDU> bruce@atria.gsfc.nasa.gov (Bruce Mount) writes: >I, too, would like *ANY* suggestions for a beginning book on neural nets. >Something like "Neural nets for idiots" or "Neural nets made so simple >even YOU can understand it". In addition to the Huge amount of info in the recent issues of most computer magazines (Dr. Dobbs, etc) try a book called Neural Computing written by Philip D. Wasserman and published by Van Norstrand Reinhold c1989. The book covers a lot of the basics. P. 38 of the April issue of Dr. Dobbs has a nice introductory article. RF Richard T. Ferris ferris@eniac.seas.upenn.edu University of Pennsylvania