Digital neural networks
著者
書誌事項
Digital neural networks
（Prentice-Hall information and system sciences series）
PTR Prentice Hall, c1993
- : hbk
- : pbk
大学図書館所蔵 全32件
注記
Includes bibliographical references (p. 413-434) and index
内容説明・目次
内容説明
Covering the fundamental theory and practical implementation of various neural models, this text provides a coherent exploration and a well structured presentation of the three most important aspects of the neural networks: application, algorithm and architecture. It offers working knowledge of the various neural models, the fundamental theoretical basis, the potential application domains and the basic implementation issues.
目次
1. Overview.
2. Neural Networks for Representation.
3. Unsupervised Networks for Association/Classification.
4. Supervised Networks for Classification.
5. Neural Networks for Generalization/Restoration.
6. Neural Net and Conventional Optimization Techniques.
7. Special-Purpose Supercomputers for Neural Nets.
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