Discrete Neural Computation: A Theoretical Foundation (Prentice Hall Information and System Sciences) - Tapa blanda

Siu, Kai-Yeung

 
9780133007084: Discrete Neural Computation: A Theoretical Foundation (Prentice Hall Information and System Sciences)

Sinopsis

A reference/text for researchers in neural computation and related disciplines.

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.

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Reseña del editor

A reference/text for researchers in neural computation and related disciplines. 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.

Contraportada

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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