Newsgroups: comp.ai.neural-nets
Path: utzoo!censor!geac!maccs!nimios!ukrainec
From: ukrainec@nimios.eng.mcmaster.ca (Andy Ukrainec)
Subject: Re: Neural Net Textbooks
Message-ID: <1991Jan31.121702.2798@maccs.dcss.mcmaster.ca>
Keywords: neural networks, textbooks
Organization: Communications Research Laboratory
References: <1956@winnie.fit.edu>

Here's a book I haven't seen mentioned yet:

Khanna, Tarun  "Foundations of Neural Networks", Addison-Wesley, 1990.

Its under 200 pages, but introduces many of the common architectures, and
provides a overview of the field.  Models include associative memory,
perceptron, back-prop, competitive learning, linsker model, fukishima model,
adaptive resonance, hopfield and hoppensteadt models, boltzmann machine.
Only obvious omission seems to be the Kohonnen network.  I like this book
because it has a engineering slant to it, as well as providing a good
"foundation".  Check it out.
-- 
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[|         Andrew Ukrainec            |    |   ukrainec@sscvax.mcmaster.ca    |]
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  \Communications Research Laboratory/      \McMaster Univ, Hamilton, Ontario/