Discrete Neural Computation: A Theoretical Foundation
Author:   Kai-Yeung Siu ,  Vwani Roychowdhury ,  Thomas Kailath
Publisher:   Pearson Education (US)
Edition:   US ed
ISBN:  

9780133007084


Pages:   432
Publication Date:   15 March 1995
Format:   Paperback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Discrete Neural Computation: A Theoretical Foundation


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Overview

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.

Full Product Details

Author:   Kai-Yeung Siu ,  Vwani Roychowdhury ,  Thomas Kailath
Publisher:   Pearson Education (US)
Imprint:   Prentice Hall
Edition:   US ed
Dimensions:   Width: 18.50cm , Height: 2.00cm , Length: 24.00cm
Weight:   0.820kg
ISBN:  

9780133007084


ISBN 10:   0133007081
Pages:   432
Publication Date:   15 March 1995
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

1. Introduction. 2. Linear Threshold Element. 3. Computing Symmetric Functions. 4. Depth Efficient Arithmetic Circuits. 5. Depth-Size Tradeoffs. 6. Computing with Small Weights. 7. Rational Approximation and Optimal Size Circuits. 8. Geometric Framework and Spectral Analysis. 9. Limitations of AND-OR Circuits. 10. Lower Bounds via Communication Complexity. 11. Hopfield Network. Glossary. Bibliography. Index.

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