Introduction To The Theory Of Neural Computation (Lecture Notes Volume 1)

Hertz, John.; Krogh, Anders; Palmer, Richard G.

ISBN 10: 0201515601 / ISBN 13: 9780201515602

Published by Addison-Wesley, Redwood City, CA, 1991

About this Item

Fair condition. Visible water damage at head and foot of front cover and initial pages. Text is clean of any markings or notes. Binding is tight with visible edge wear, corner bumping, previous folding of cover corners, and surface rubbing and staining. Size: 8vo - over 7¾" - 9¾" tall. Seller Inventory # 118454

Bibliographic Details

Title: Introduction To The Theory Of Neural ...

Publisher: Addison-Wesley, Redwood City, CA

Publication Date: 1991

Binding: Paperback

Condition: Fair

Dust Jacket Condition: No Jacket

About this title

Synopsis:

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 problems of both theoretical and practical interest.

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.