Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

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Bibliographic Details

Title

Neural Networks : A Comprehensive Foundation

Publisher

Pearson Education, Limited

Publication Date

1998

Language

English

ISBN 10

0132733501

ISBN 13

9780132733502

Binding

Hardcover

Condition

Very Good

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About this title

Synopsis

Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented experiments, end of chapter problems, and a bibliography. DLC: Neural networks (Computer science).

From the Back Cover

NEW TO THIS EDITION

NEW—New chapters now cover such areas as:

Support vector machines.
Reinforcement learning/neurodynamic programming.
Dynamically driven recurrent networks.
NEW-End—of-chapter problems revised, improved and expanded in number.

FEATURES

Extensive, state-of-the-art coverage exposes the reader to the many facets of neural networks and helps them appreciate the technology's capabilities and potential applications.
Detailed analysis of back-propagation learning and multi-layer perceptrons.
Explores the intricacies of the learning process—an essential component for understanding neural networks.
Considers recurrent networks, such as Hopfield networks, Boltzmann machines, and meanfield theory machines, as well as modular networks, temporal processing, and neurodynamics.
Integrates computer experiments throughout, giving the opportunity to see how neural networks are designed and perform in practice.
Reinforces key concepts with chapter objectives, problems, worked examples, a bibliography, photographs, illustrations, and a thorough glossary.
Includes a detailed and extensive bibliography for easy reference.
Computer-oriented experiments distributed throughout the book

Uses Matlab SE version 5.

"About this title" may belong to another edition of this title.

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