An introduction to neural computing
著者
書誌事項
An introduction to neural computing
International Thomson Computer Press, c1995
2nd ed
大学図書館所蔵 件 / 全11件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
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