Innovations in Intelligent Systems

  • Ajith Abraham
  • Lakhmi Jain
  • Berend Jan van der Zwaag

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 140)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Theory

    1. Front Matter
      Pages 1-1
    2. S. V. N. Vishwanathan, M. Narasimha Murty
      Pages 3-20
    3. Rainer Deventer, Joachim Denzler, Heinrich Niemann
      Pages 21-50
    4. Joaquim Quinteiro Uchôa, Maria do Carmo Nicoletti
      Pages 89-110
    5. Juha Vesanto, Jaakko Hollmén
      Pages 203-219
  3. Applications

    1. Front Matter
      Pages 235-235
    2. Ajith Abraham, Muhammad Riaz Khan
      Pages 285-314
    3. Ryohei Orihara, Tomoko Murakami, Naomichi Sueda, Shigeaki Sakurai
      Pages 315-342
    4. M. L. Vaughn, S. J. Cavill, S. J. Taylor, M. A. Foy, A. J. B. Fogg
      Pages 381-411
    5. András Kornai, Lisa Stone
      Pages 413-434
    6. Olgierd Unold, Grzegorz Dulewicz
      Pages 435-456
  4. Back Matter
    Pages 457-468

About this book


Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.


Case-Based Reasoning cognition computational intelligence data mining fuzzy grammar intelligence intelligent systems knowledge-based systems learning linear optimization modeling natural language optimization sets

Editors and affiliations

  • Ajith Abraham
    • 1
  • Lakhmi Jain
    • 2
  • Berend Jan van der Zwaag
    • 3
  1. 1.Computer Science DepartmentOklahoma State UniversityTulsaUSA
  2. 2.Knowledge-Based Intelligent Engineering Systems Centre (KES)University of South AustraliaAdelaide, Mawson LakesAustralia
  3. 3.Department of Electrical EngineeringUniversity of TwenteEnschedeThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05784-7
  • Online ISBN 978-3-540-39615-4
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site