An introduction to neural computing

書誌事項

An introduction to neural computing

Igor Aleksander and Helen Morton

International Thomson Computer Press, c1995

2nd ed

大学図書館所蔵 件 / 11

この図書・雑誌をさがす

注記

Previous ed.: London : Chapman and Hall, 1991

Bibliography: p. 274-279

Includes index

内容説明・目次

内容説明

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.

目次

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.

「Nielsen BookData」 より

詳細情報

ページトップへ