Discrete Neural Computation: A Theoretical Foundation - Softcover

Siu, Kai-Yeung

9780133007084: Discrete Neural Computation: A Theoretical Foundation

Softcover

ISBN 10: 0133007081 ISBN 13: 9780133007084

Publisher: Pearson Technology Group, 2008

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.

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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.

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