Artificial Intelligence in Logic Design

  • Svetlana N. Yanushkevich

Part of the Artificial Intelligence in Logic Design book series (SECS, volume 766)

Table of contents

  1. Front Matter
    Pages i-6
  2. Svetlana N. Yanushkevich
    Pages 7-8
  3. Claudio Moraga, Enric Trillas, Sergio Guadarrama
    Pages 9-37
  4. Takafumi Aoki, Naofumi Homma, Tatsuo Higuchi
    Pages 39-72
  5. Martin Lukac, Marek Perkowski, Hilton Goi, Mikhail Pivtoraiko, Chung Hyo Yu, Kyusik Chung et al.
    Pages 201-257
  6. Arturo Hernández Aguirre, Carlos A. Coello Coello
    Pages 285-311
  7. Vlad P. Shmerko, Svetlana N. Yanushkevich
    Pages 313-334

About this book


There are three outstanding points of this book. First: for the first time, a collective point of view on the role of artificial intelligence paradigm in logic design is introduced. Second, the book reveals new horizons of logic design tools on the technologies of the near future. Finally, the contributors of the book are twenty recognizable leaders in the field from the seven research centres. The chapters of the book have been carefully reviewed by equally qualified experts. All contributors are experienced in practical electronic design and in teaching engineering courses. Thus, the book's style is accessible to graduate students, practical engineers and researchers.


artificial intelligence circuit design data mining evolution fuzzy fuzzy control information theory intelligence neural network uncertainty

Authors and affiliations

  • Svetlana N. Yanushkevich
    • 1
  1. 1.Department of Electrical & Computer EngineeringUniversity of CalgaryCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2004
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6583-4
  • Online ISBN 978-1-4020-2075-9
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site