From: IN%"peter@Nexus.YorkU.CA" "Peter Roosen-Runge" 30-JAN-1991 00:51:27.00 To: cs100006@YUSol CC: Subj: Wed, 30 Jan 91 00:51 EDT 30 Jan 91 00:47:15 EST Date: Wed, 30 Jan 91 00:47:25 EST To: cs100006@YUSol Path: yunexus!ists!helios.physics.utoronto.ca!news-server.csri.toronto.edu!cs.ut exas.edu!swrinde!elroy.jpl.nasa.gov!sdd.hp.com!samsung!munnari.oz.au!brolga!u qcspe!batserver.cs.uq.oz.au!bakker From: bakker@batserver.cs.uq.oz.au (Paultje Bakker) Newsgroups: comp.ai.neural-nets Subject: Introductory Texts (Cleaned-Up Version) Message-ID: <6966@uqcspe.cs.uq.oz.au> Date: 24 Jan 91 23:58:54 GMT Article-I.D.: uqcspe.6966 Posted: Thu Jan 24 18:58:54 1991 Sender: news@uqcspe.cs.uq.oz.au Reply-To: bakker@batserver.cs.uq.oz.au Organization: Computer Science Department, The University of Queensland, Brisban e, Australia Lines: 89 (* Sorry for wasting bandwidth. Here's a cleaner version of the list I posted the other day. I'll post it every 2-3 months from now on with updates. *) A List of Introductory Texts for Neural Networks. ----------------------------------------------------------------- - I haven't checked the accuracy of many of these titles. Beware! - Wasserman's book is by far the most popular. - Please send new additions or comments/corrections on existing items to bakker@batserver.cs.uq.oz.au. ----------------------------------------------------------------- Aleksander, I. and Morton, H. (1990). An Introduction to Neural Computing. Chapman and Hall. Anderson, J. A. and Rosenfeld, E. (1988). Neurocomputing: Foundations of Research. The MIT Press, Cambridge, MA. Beale, R. and Jackson, T. (1990). Neural Computing, an Introduction. Adam Hilger, IOP Publishing Ltd. (ISBN 0-85274-262-2). Comments: "It's clearly written. Lots of hints as to how to get the adaptive models covered to work (not always well explained in the original sources). Consistent mathematical terminology. Covers perceptrons, error-backpropagation, Kohonen self-org model, Hopfield type models, ART, and associative memories." Caudill, M. and Butler, C. (1990). Naturally Intelligent Systems. MIT Press: Cambridge, Massachusetts. (ISBN 0-262-03156-6) Comments: "I guess one of the best books I read." Hinton, G. E. (1989). Connectionist learning procedures. Artificial Intelligence, Vol. 40, pp. 185--234. Comments: "One of the better neural networks overview papers, although the distinction between network topology and learning algorithm is not always very clear. Could very well be used as an introduction to neural networks." Lippmann, R. P. (1987). An introduction to computing with neural nets. IEEE Transactions on Acoustics, Speech, and Signal Processing. vol. 2, no. 4, pp 4-22. Comments: "Much acclaimed as an overview of neural networks, but rather inaccurate on several points. The categorization into binary and continuous- valued input neural networks is rather arbitrary, and may work confusing for the unexperienced reader. Not all networks discussed are of equal importance. McClelland, J. L. and Rumelhart, D. E. (1988). Explorations in Parallel Distributed Processing: Computational Models of Cognition and Perception (software manual). The MIT Press. Comments: "Written in a tutorial style, and includes 2 diskettes of NN simulation programs that can be compiled on MS-DOS or Unix (and they do too !)"; "The programs are pretty reasonable as an introduction to some of the things that nns can do." Pao, Y. H. (1989). Adaptive Pattern Recognition and Neural Networks Addison-Wesley Publishing Company, Inc.(ISBN 0-201-12584-6) [A paper by Rumelhart et.al published in Nature at the same time (vol 323 October 1986) gives a very good potted explanation of backprop NN's. It gives sufficient detail to write your own NN simulation.] Rumelhart, D. E. and McClelland, J. L. (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition (volumes 1 & 2). The MIT Press. Comments: "As a computer scientist I found the two Rumelhart and McClelland books really heavy going and definitely not the sort of thing to read if you are a beginner."; "It's quite readable, and affordable (about $65 for both volumes)."; Stanley, J. (1988,1989). Introduction to Neural Networks. California Scientific Software. Comments: "This is provided with the Brainmaker nn package. It is however just what it claims to be; an introductory text. Perhaps a bit simplistic for some.." Wasserman, P. D. (1989). Neural Computing: Theory & Practice Van Nostrand Reinhold. (ISBN 0-442-20743-3) Comments: Generally considered to be the best introductory text so far. Wunsch, D. (Ed.) (July, 1991). Neural Networks: An Introduction. Pergamon Press. Zeidenberg. M. (1990). Neural Networks in Artificial Intelligence. Ellis Horwood, Ltd., Chichester. -- --Paul Bakker email: bakker@batserver.cs.uq.oz.au --Dept. of Scatology "Love between the ugly --University of Qld Is the most beautiful love of all" --Gondwanaland - T. Rundgren