Computational Intelligence: Research Frontiers

IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures

  • Editors
  • Jacek M. Zurada
  • Gary G. Yen
  • Jun Wang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5050)

Table of contents

  1. Front Matter
  2. Machine Learning and Brain Computer Interface

    1. Christopher M. Bishop
      Pages 1-24
    2. Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang
      Pages 25-47
    3. Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Dónaczy et al.
      Pages 79-101
    4. Shiro Usui, Yoshihiro Okumura
      Pages 102-116
  3. Fuzzy Modeling and Control

  4. Computational Evolution

    1. David B. Fogel
      Pages 201-231
    2. Dario Floreano, Sara Mitri, Andres Perez-Uribe, Laurent Keller
      Pages 232-248
    3. Günter Rudolph, Hans-Paul Schwefel
      Pages 249-261
  5. Applications

    1. Jacalyn M. Huband, James C. Bezdek
      Pages 293-308
    2. Teuvo Kohonen
      Pages 309-332
    3. DeLiang Wang, Guoning Hu
      Pages 333-348
    4. Bernadette Bouchon-Meunier, Maria Rifqi, Marie-Jeanne Lesot
      Pages 349-367
  6. Back Matter

About this book


This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field.

The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.


computational intelligence evolution evolutionary computation fuzzy fuzzy system fuzzy systems intelligence learning machine learning modeling

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-68858-7
  • Online ISBN 978-3-540-68860-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book