Neural Networks : A Comprehensive Foundation

Haykin, Simon

ISBN 10: 0132733501 / ISBN 13: 9780132733502

Published by Pearson Education, Limited, 1998

Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # GRP82975630

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.

Bibliographic Details

Title: Neural Networks : A Comprehensive Foundation
Publisher: Pearson Education, Limited
Publication Date: 1998
Binding: Hardcover
Condition: Very Good