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Title: Introduction to the Theory of Neural Computation by Anders Krogh, Richard G. Palmer, John A. Hertz ISBN: 0-201-51560-1 Publisher: Perseus Publishing Pub. Date: January, 1991 Format: Hardcover Volumes: 1 List Price(USD): $56.00

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Average Customer Rating: 4.5 (2 reviews)

Rating: 5
Summary: Introduction to the Theory of Neural Computation
Comment: 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
Summary: A Broad Survey
Comment: 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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