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From: rickc@crash.cts.com ( Sky Computers)
Subject: Re: neural network texts
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Date: Tue, 18 Oct 1994 00:32:11 GMT
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In <1994Oct12.132324.29663@cc.usu.edu> cooley@don.cs.usu.edu (Don Cooley) writes:

>Winter quarter I teach a neural networks graduate class. For the last
>two years we've used Zurada's book : Artificial Neural Systems. Does anyone have any
>suggestions for a replacement? The text is now two years old.
>The students are first year graduate MS/CS students. Many have not had a previous
>AI class.

>Don Cooley	cooley@don.cs.usu.edu


Based on the recommendation of the FAQ for this newsgroup, I just purchased
Haykin, "Neural Networks - A Comprehensive Foundation", Macmillan 1994.
I have not had much time to evaluate it yet (but somebody writing the FAQ
did).

So far to me, it looks very focused on the theoretical subject - almost to
the point of ignoring applications (ie: where does the data come from? -
where does a NN fit in a DSP-based decision-producing application?).

The book is richly illustrated, contains a hefty and well-referenced
bibliography, and has a reasonable number of problems at the end of each
of the fifteen chapters.  (The preface promises a solutions manual.)

The preface also states that the book is aimed toward students of about
the level of yours, or perhaps a little above (graduate students and
professional engineers).  A cursory thumbing-through indicates that
calculus and linear algebra are pre-requisites.

Hope this helps,

Rick

