Discrete Neural Computation: A Theoretical Foundation - Softcover

Siu, Kai-Yeung

Softcover

ISBN 10: 0133007081 ISBN 13: 9780133007084

Publisher: Pearson Technology Group, 2008

Synopsis

Written by the three leading authorities in the field, this book brings together — in one volume — the recent developments in discrete neural computation, with a focus on neural networks with discrete inputs and outputs. It integrates a variety of important ideas and analytical techniques, and establishes a theoretical foundation for discrete neural computation. Discusses the basic models for discrete neural computation and the fundamental concepts in computational complexity; establishes efficient designs of threshold circuits for computing various functions; develops techniques for analyzing the computational power of neural models. A reference/text for computer scientists and researchers involved with neural computation and related disciplines.

About this title

From the Publisher

This book brings together -- in one volume -- the recent developments in discrete neural computation, with a focus on neural networks with discrete inputs and outputs. It integrates a variety of important ideas and analytical techniques, and establishes a theoretical foundation for discrete neural computation.

From the Back Cover

Interest in artificial neural networks has sparked research efforts in many disciplines, including neurobiology, physics, mathematics, computer science, and engineering. To help readers keep pace, this book brings together in one volume the recent developments in discrete neural computation.

Edition details

• Publisher: Pearson Technology Group
• Publication date: 2008
• ISBN 10: 0133007081
• ISBN 13: 9780133007084
• Binding: Paperback
• Language: English
• Number of pages: 432