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  • © 2004

Innovations in Intelligent Systems

  • Latest developments in intelligent paradigms and practical interesting applications
  • State of the art in building 'thinking' machines and improving our understanding of intelligence

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

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxv
  2. Theory

    1. Front Matter

      Pages 1-1
    2. Use of Multi-category Proximal SVM for Data Set Reduction

      • S. V. N. Vishwanathan, M. Narasimha Murty
      Pages 3-20
    3. Bayesian Control of Dynamic Systems

      • Rainer Deventer, Joachim Denzler, Heinrich Niemann
      Pages 21-50
    4. An Algorithmic Approach to the Main Concepts of Rough Set Theory

      • Joaquim Quinteiro Uchôa, Maria do Carmo Nicoletti
      Pages 89-110
    5. An Automated Report Generation Tool for the Data Understanding Phase

      • Juha Vesanto, Jaakko Hollmén
      Pages 203-219
  3. Applications

    1. Front Matter

      Pages 235-235
    2. Neuro-Fuzzy Paradigms for Intelligent Energy Management

      • Ajith Abraham, Muhammad Riaz Khan
      Pages 285-314
    3. Information Space Optimization for Inductive Learning

      • Ryohei Orihara, Tomoko Murakami, Naomichi Sueda, Shigeaki Sakurai
      Pages 315-342
    4. A Full Explanation Facility for an MLP Network That Classifies Low-Back-Pain Patients and for Predicting MLP Reliability

      • M. L. Vaughn, S. J. Cavill, S. J. Taylor, M. A. Foy, A. J. B. Fogg
      Pages 381-411
    5. Automatic Translation to Controlled Medical Vocabularies

      • András Kornai, Lisa Stone
      Pages 413-434

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.

Editors and Affiliations

  • Computer Science Department, Oklahoma State University, Tulsa, USA

    Ajith Abraham

  • Knowledge-Based Intelligent Engineering Systems Centre (KES), University of South Australia, Adelaide, Mawson Lakes, Australia

    Lakhmi Jain

  • Department of Electrical Engineering, University of Twente, Enschede, The Netherlands

    Berend Jan Zwaag

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access