An introduction to neural computing

Bibliographic Information

An introduction to neural computing

Igor Aleksander and Helen Morton

International Thomson Computer Press, c1995

2nd ed

Available at  / 11 libraries

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Note

Previous ed.: London : Chapman and Hall, 1991

Bibliography: p. 274-279

Includes index

Description and Table of Contents

Description

Since the first edition of this book was published, much has happened in the field of neural networks. The authors reflect these changes by updating and introducing material on new developments including neurocontrol, pattern analysis and dynamic systems. This book should be useful for undergraduate students of neural networks.

Table of Contents

Introduction - Why neural nets? Principles and promises. The McCulloch and Pitts legacy. The hard learning problem. Making neurons. The secrets of Wisard. Multi-layer perceptrons. Dynamic networks. Variations. Neurocontrol. Varieties of pattern analysis. Developments in weightless systems. Trends and promises.

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