Neural Networks: A Comprehensive Foundation

Simon Haykin

ISBN 10: 0023527617 / ISBN 13: 9780023527616

Edité par Macmillan Coll Div, 1994

A propos de cet article

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Détails bibliographiques

• Titre: Neural Networks: A Comprehensive Foundation
• Éditeur: Macmillan Coll Div
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 0023527617
• ISBN à 13 chiffres: 9780023527616
• Reliure: Paperback
• État de l'article: new

A propos de ce titre

Synopsis

Book by Haykin Simon

Quatrième de couverture

Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Thoroughly revised.

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.