Digital neural networks

Author(s)

• Kung, S. Y. (Sun Yuan)

Bibliographic Information

Digital neural networks

S.Y. Kung

（Prentice-Hall information and system sciences series）

PTR Prentice Hall, c1993

• : hbk
• : pbk

Note

Includes bibliographical references (p. 413-434) and index

Description and Table of Contents

Description

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.

Table of Contents

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.

by "Nielsen BookData"

Details

• NCID: BA20467389
• ISBN:
  • 0136123260
  • 0136171508
• LCCN: 92042737
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Englewood Cliffs, N.J.
• Pages/Volumes: xviii, 444 p.
• Size: 25 cm
• Classification:
  • LCC : QA76.87
  • DC20 : 006.3
• Subject Headings:
  • LCSH : Neural networks (Computer science)
• Parent Bibliography ID:
  • BA00285185