ISBN-10:
0133007081
ISBN-13:
9780133007084
Pub. Date:
02/01/1995
Publisher:
Prentice Hall
Discrete Neural Computation: A Theoretical Foundation / Edition 1

Discrete Neural Computation: A Theoretical Foundation / Edition 1

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Overview

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.

Product Details

ISBN-13: 9780133007084
Publisher: Prentice Hall
Publication date: 02/01/1995
Series: Prentice Hall Information and System Science Series
Pages: 432
Product dimensions: 7.00(w) x 9.00(h) x 1.00(d)

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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