Introduction to the Theory of Neural Computation, Volume I

Hertz, John A

  • 4.24 out of 5 stars
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ISBN 10: 0201503956 ISBN 13: 9780201503951
Published by Addison-Wesley Pub. Co, Redwood City, CA, Redwood City, CA, 1991
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SANTA FE INSTITUTE STUDIES In The SCIENCES Of COMPLEXITY LECTURE NOTES; 7 X 1 X 9.75 inches; 327 pages; notes from previous owner on front free endpaper. Very Good condition otherwise. No other noteworthy defects. No markings on text pages.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence. Seller Inventory # HVD-76301-A-0

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Synopsis:

A clear exposition of the theoretical aspects of neural computation. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Annotation copyright Book News, Inc. Portland, Or.

Review: This book comprehensively discusses the neural network models from a statistical mechanics perspective. It starts with one of the most influential developments in the theory of neural networks: Hopfield's analysis of networks with symmetric connections using the spin system approach and using the notion of an energy function from physics. Introduction to the Theory of Neural Computation uses these powerful tools to analyze neural networks as associative memory stores and solvers of optimization problems. A detailed analysis of multi-layer networks and recurrent networks follow. The book ends with chapters on unsupervised learning and a formal treatment of the relationship between statistical mechanics and neural networks. Little information is provided about applications and implementations, and the treatment of the material reflects the background of the authors as physicists. However the book is essential for a solid understanding of the computational potential of neural networks. Introduction to the Theory of Neural Computation assumes that the reader is familiar with undergraduate level mathematics, but does not have any background in physics. All of the necessary tools are introduced in the book.

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Bibliographic Details

Title: Introduction to the Theory of Neural ...
Publisher: Addison-Wesley Pub. Co, Redwood City, CA, Redwood City, CA
Publication Date: 1991
Binding: Hardcover
Condition: Very Good
Dust Jacket Condition: No Dust Jacket
Edition: First Edition; First Printing.

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