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Analog VLSI Neural Networks

A Special Issue of Analog Integrated Circuits and Signal Processing

  • Yoshiyasu Takefuji

Table of contents

  1. Front Matter
    Pages i-iv
  2. Yoshiyasu Takefuji
    Pages 1-2
  3. Yoh-Han Pao, Wassim Hafez
    Pages 3-10
  4. Paul W. Hollis, John J. Paulos
    Pages 11-17
  5. P. A. Shoemaker, C. G. Hutchens, S. B. Patil
    Pages 35-49
  6. Yong Beom Cho, Kazuhiro Tsuchiya, Yoshiyasu Takefuji
    Pages 51-60
  7. Seokjin Kim, Yong-Chul Shin, Naidu C. R. Bogineni, Ramalingam Sridhar
    Pages 83-90
  8. Stephen M. Phillips, Christoph Müller-Dott
    Pages 91-103
  9. Mark Deyong, Thomas C. Eskridge, Chris Fields
    Pages 105-126
  10. Manabu Yamada, Tohru Nakagawa, Hajime Kitagawa
    Pages 127-131

About this book

Introduction

This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks.
The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.

Keywords

CMOS Signal VLSI analog integrated circuit model network networks neural networks signal processing

Editors and affiliations

  • Yoshiyasu Takefuji
    • 1
  1. 1.Case Western Reserve University, Keio UniversityJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-3582-9
  • Copyright Information Kluwer Academic Publishers 1993
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6592-1
  • Online ISBN 978-1-4615-3582-9
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site