Discrete neural computation : a theoretical foundation
著者
書誌事項
Discrete neural computation : a theoretical foundation
（Prentice-Hall information and system sciences series）
Prentice Hall PTR, c1995
- : international ed
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注記
Includes bibliographical references (p. 389-399) and index
内容説明・目次
内容説明
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.
目次
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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