VLSI Artificial Neural Networks Engineering

  • Mohamed I. Elmasry

Table of contents

  1. Front Matter
    Pages i-xv
  2. Waleed Fakhr, Mohamed I. Elmasry
    Pages 1-31
  3. Arun Achyuthan, Mohamed I. Elmasry
    Pages 91-137
  4. Liang-Yong Song, Anthony Vannelli, Mohamed I. Elmasry
    Pages 139-156
  5. Brian White, Mohamed I. Elmasry
    Pages 157-189
  6. Khaled Hassanein, Li Deng, Mohamed I. Elmasry
    Pages 191-245
  7. Waleed Fakhr, Mohamed Kamel, Mohamed I. Elmasry
    Pages 247-282
  8. Dapeng Zhang, Mohamed Kamel, Mohamed I. Elmasry
    Pages 283-302
  9. Dapeng Zhang, Li Deng, Mohamed I. Elmasry
    Pages 303-321
  10. Back Matter
    Pages 323-329

About this book

Introduction

Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac­ curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980's. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born. Today, many engineering curriculums have included a course or more on the subject at the graduate or senior under­ graduate levels. Since the pioneering book by Carver Mead; "Analog VLSI and Neural Sys­ tems", Addison-Wesley, 1989; there were a number of excellent text and ref­ erence books on the subject, each dealing with one or two topics. This book attempts to present an integrated approach of a single research team to VLSI ANNs Engineering.

Keywords

CMOS VLSI analog automation complexity design automation model network networks neural networks pattern recognition speech recognition

Editors and affiliations

  • Mohamed I. Elmasry
    • 1
  1. 1.VLSI Research GroupUniversity of WaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-2766-4
  • Copyright Information Springer Science+Business Media New York 1994
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6194-7
  • Online ISBN 978-1-4615-2766-4
  • About this book