Neural networks : a tutorial

Author(s)

• Nowak, Chester Michael

Bibliographic Information

Neural networks : a tutorial

Michael Chester

PTR Prentice Hall, c1993

Note

Includes bibliographical references (p. 171-179) and index

Description and Table of Contents

Description

This book bridges the gap between the highly theoretical level of research in neural networks and the practical, analytical level encountered by those who are not specialised in the neural field. It covers the taxonomy of network paradigms and interrelates the paradigms in a systematic fashion, explores practical implementation in terms of applications and discusses neural products that are in development or on the market: chips, printed circuit boards, systems and software.

Table of Contents

1. A Structure of an Artificial Neural Network. 2. Applications of Neural Networks. 3. The Early Years. 4. The Hopfield Net. 5. Self Organizing Maps. 6. Backpropagation. 7. Learning Laws and Continued Taxonomy. 8. Adaptive Resonance Theory. 9. Bidirectional Associative Memory. 10. Variations on Neural Themes. 11. Fuzzy Theory. 12. Integrated Circuits. 13. Optical Neural Nets. 14. The Evolution of Intelligence. Appendix: Mathematical Notation. Bibliography. Index.

by "Nielsen BookData"

Details

• NCID: BA20794385
• ISBN:
  • 0133689034
• LCCN: 93000026
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Englewood Cliffs, N.J.
• Pages/Volumes: viii, 182 p.
• Size: 24 cm
• Classification:
  • LCC : QA76.87
  • DC20 : 006.3
• Subject Headings:
  • LCSH : Neural networks (Computer science)