Advertisement

Hardware Implementation of Intelligent Systems

  • Horia-Nicolai Teodorescu
  • Lakhmi C. Jain
  • Abraham Kandel

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 74)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Evolvable Hardware and GA

    1. Front Matter
      Pages 1-1
    2. Ranga Vemuri, Sriram Govindarajan, Iyad Ouaiss, Meenakshi Kaul, Vinoo Srinivasan, Shankar Radhakrishnan et al.
      Pages 3-52
    3. Barry Shackleford, Etsuko Okushi, Mitsuhiro Yasuda, Hisao Koizumi, Katsuhiko Seo, Takahashi Iwamoto et al.
      Pages 53-87
  3. Fuzzy Logic Hardware Implementations

    1. Front Matter
      Pages 89-89
    2. Marco Russo, Luigi Caponetto
      Pages 91-120
    3. Gian Carlo Cardarilli, Roberto Lojacono, Marco Re
      Pages 121-146
    4. Davide Falchieri, Alessandro Gabrielli, Enzo Gandolfi
      Pages 147-164
  4. Neural Networks Hardware Implementations

    1. Front Matter
      Pages 165-165
    2. Gian Marco Bo, Daniele Caviglia, Hussein Chiblé, Maurizio Valle
      Pages 193-217
    3. Trevor G. Clarkson
      Pages 219-241
  5. Algorithms for Parallel Machines

    1. Front Matter
      Pages 243-243
    2. Stuart Campbell, Mohan Kumar, Horst Bunke
      Pages 245-275
  6. Back Matter
    Pages 277-282

About this book

Introduction

The book offers an overview of a large spectrum of implementations for the computational intelligence based on neuro-fuzzy and artificial approaches. The clear and concise explanations help the reader to understand the hardware implementation aspects of the new computational intelligence paradigms.
The book will be of great value to researchers as well as to practicing engineers and scientists. Research students will receive an in-depth tutorial on the topics covered. The seasoned researcher will appreciate the implementations and the gold mine of other possibilities for novel research topics.

Keywords

computational intelligence fuzzy fuzzy logic genetic algorithms intelligence intelligent systems learning neural networks supervised learning

Editors and affiliations

  • Horia-Nicolai Teodorescu
    • 1
  • Lakhmi C. Jain
    • 2
  • Abraham Kandel
    • 3
  1. 1.Romanian AcademyBucharestRomania
  2. 2.Knowledge-Based Intelligent, Engineering Systems CentreUniversity of South AustraliaAdelaide, Mawson LakesAustralia
  3. 3.Computer Science and EngineeringUniversity of South FloridaTampaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1816-1
  • Copyright Information Physica-Verlag Heidelberg 2001
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2491-9
  • Online ISBN 978-3-7908-1816-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site