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Introduction to the Theory of Neural Computation
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Author: Anders Krogh, Richard G. Palmer, John A. Hertz
List Price: $56.00
Our Price: Click to see the latest and low price
ISBN: 0201515601
Publisher: Perseus Publishing (January, 1991)
Edition: Paperback
Sales Rank: 96,485
Average Customer Rating: 4.5 out of 5
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Customer ReviewsRating: 5 out of 5
Introduction to the Theory of Neural Computation
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.
Rating: 4 out of 5
A Broad Survey
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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