Introduction to the Theory of Neural Computation
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Book Overview
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of... This description may be from another edition of this product.
Format:Hardcover
Language:English
ISBN:0201503956
ISBN13:9780201503951
Release Date:January 1991
Publisher:Addison Wesley Publishing Company
Length:327 Pages
Weight:1.55 lbs.
Customer Reviews
3 ratings
Clear and logical exposition
Published by Thriftbooks.com User , 17 years ago
It's not the latest book on this topic, so today, there are other texts that have more recent developments to be sure. I originally read this text about 15 years ago. But what I got from this book, that I didn't get from most, are important insights and clear understanding of the material that's covered. The authors have a deep understanding, and have teaching as their goal in writing. Most other texts in this area are lacking in one or both of those characteristics, and aren't worth the paper they are printed on.
Introduction to the Theory of Neural Computation
Published by Thriftbooks.com User , 24 years ago
This book is written from a mathematical perspective. The book introduces the Hopfield Neural Network with history and applications. The authors solve the network problem and develop the Hebb Rule. Links are made to Ising Spin models and stochastic problems. I find this book to be one of the best written mathematical guides for Neural Networks.
A Broad Survey
Published by Thriftbooks.com User , 27 years ago
This was a good survey, and well-grounded mathematically. It is kind of scattershot, and if you primarily want to do practical projects like predicting financial markets, a lot of the sections won't be relevant. But if you want a broad-based approach, emphasizing a variety of network designs fro different purposes, this book is very good.
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