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Adaptive Analog VLSI Neural Systems

  • M. A. Jabri
  • R. J. Coggins
  • B. G. Flower
Book

Table of contents

  1. Front Matter
    Pages i-vii
  2. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 1-5
  3. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 7-16
  4. Graham Rigby
    Pages 17-56
  5. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 57-88
  6. Philip H. W. Leong
    Pages 89-103
  7. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 105-136
  8. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 137-156
  9. M. A. Jabri, R. J. Coggins, B. G. Flower
    Pages 157-169
  10. Pascal Heim
    Pages 171-179
  11. Stephen Pickard
    Pages 181-199
  12. Eric Cosatto, Hans Peter Graf
    Pages 201-222
  13. Joshua Alspector
    Pages 223-247
  14. Back Matter
    Pages 249-262

About this book

Introduction

Adaptive Analog VLSI Neural Systems is the first practical book on neural networks learning chips and systems. It covers the entire process of implementing neural networks in VLSI chips, beginning with the crucial issues of learning algorithms in an analog framework and limited precision effects, and giving actual case studies of working systems.
The approach is systems and applications oriented throughout, demonstrating the attractiveness of such an approach for applications such as adaptive pattern recognition and optical character recognition.
Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction  to VLSI neural networks suitable for research and development staff and advanced students.

Keywords

Diac VLSI algorithms analog network neural networks

Authors and affiliations

  • M. A. Jabri
    • 1
  • R. J. Coggins
    • 1
  • B. G. Flower
    • 1
  1. 1.Electrical EngineeringSEDAL, Sydney UniversityAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-0525-5
  • Copyright Information M.A. Jabri, R.J. Coggins and B.G Flower 1996
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-412-61630-3
  • Online ISBN 978-94-011-0525-5
  • Buy this book on publisher's site