Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to... This description may be from another edition of this product.
Although the first edition of the book (maybe the only one existing) has too many printed mistakes, it is a very good book on NN. It explains in a clear and mathematical way a lot of different kinds of NN. It's a pity that it is missing of Genetic Algorithms applied to NN.
Very Good book, if you are really interested on it.
Published by Thriftbooks.com User , 25 years ago
The book explains and deduces mathematically the working principle of many architectures, and presents commented examples (good ones) in structured English (very similar to Pascal). I used it as the basis for many NN's and felt quite satisfied in all cases.
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