An introduction to neural computing
Author(s)
Bibliographic Information
An introduction to neural computing
International Thomson Computer Press, c1995
2nd ed
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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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