Neural networks : an introduction
著者
書誌事項
Neural networks : an introduction
(Physics of neural networks)
Springer-Verlag, c1990
- : gw
- : us
大学図書館所蔵 件 / 全45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
References: p. [250]-260
Includes index
内容説明・目次
内容説明
The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach. After a brief overview of the neural structure of the brain and the history of neural-network modelling, the reader is introduced to "neural" information processing, such as associative memory, perceptrons, feature-sensitive networks, learning strategies and practical applications. Part 2 covers more advanced subjects such as spin glasses, the mean-field theory of the Hopfield model, and the space of interactions in neural networks. The self-contained final part discusses seven programmes that provide practical demonstrations of neural-network models and their learning strategies. Software is included with the text on a 5 1/4-inch MS-DOS diskette and can be run using Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.
「Nielsen BookData」 より