Neural networks : an introduction

B. Müller, J. Reinhardt

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.

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この本の情報

書名 Neural networks : an introduction
著作者等 Müller, Berndt
Reinhardt, J.
Reinhardt J. (University of Frankfurt West Germany)
Muller B. (Duke University Durham North Carolina USA)
シリーズ名 Physics of neural networks
出版元 Springer-Verlag
刊行年月 c1990
ページ数 xiii, 266 p.
大きさ 25 cm.
付随資料 1 computer disk
ISBN 0387523804
3540523804
NCID BA11238132
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言語 英語
出版国 ドイツ
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