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Soft Computing and Industry

Recent Applications

  • Book
  • © 2002

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Editors:
  1. Rajkumar Roy

    1. Enterprise Integration, Cranfield University, Cranfield, Bedford, UK

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  2. Mario Köppen

    1. Department of Pattern Recognition, Fraunhofer IPK-Berlin, Berlin, Germany

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  3. Seppo Ovaska

    1. Institute of Intelligent Electronics, Helsinki University of Technology, Espoo, Finland

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  4. Takeshi Furuhashi

    1. Department of Information Engineering, Mie University, Tsu, Japan

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  5. Frank Hoffmann

    1. Royal Institute of Technology, NADA/CV AP, Stockholm, Sweden

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About this book

Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on:
keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

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Table of contents (70 chapters)

  1. Front Matter

    Pages I-XXXV
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  2. Keynote Papers

    1. Front Matter

      Pages 1-1
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    2. Diagnosis and Control for Multi-agent Systems Using Immune Networks

      • Yasuhiko Dote
      Pages 3-12

    3. Universality and Complexity of Approximation of Multivariable Functions by Feedforward Networks

      • Věra Kůrková
      Pages 13-24

    4. The Supervised Learning No-Free-Lunch Theorems

      • David H. Wolpert
      Pages 25-42

    5. Making Evolutionary Design Optimisation Popular in Industry: Issues and Techniques

      • Rajkumar Roy, Ashutosh Tiwari, Andreas Braneby
      Pages 43-54

    6. Theory of Incursive Synchronization and Anticipatory Computing of Chaos

      • Daniel M. Dubois
      Pages 55-66

    7. Computing with Autopoietic Systems

      • Juan Carlos Letelier, Gonzalo Marín, Jorge Mpodozis
      Pages 67-80

    8. The Internet and Education: Forces at War?

      • James C. Bezdek
      Pages 81-96

  3. Intelligent Control

    1. Front Matter

      Pages 97-97
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    2. Soft Computing for Control of Dynamical Systems

      • Oscar Castillo
      Pages 99-102

    3. Holonic Scheduling for an Assembly Line

      • Radoslaw Cechowicz
      Pages 103-110

    4. Combining First Principles Models and Neural Networks for Generic Model Control

      • Janos Abonyi, Janos Madar, Ferenc Szeifert
      Pages 111-122

    5. Adaptive Model-Based Control of Non-Linear Plants using Neural Networks and Fuzzy Logic

      • Patricia Melin, Francisco Valerio, Margarita Ramirez, Alejandro Sanchez
      Pages 123-132

    6. Intelligent Control of a Battery Charging Process with a Hybrid Approach

      • Roberto Sepulveda, Patricia Melin
      Pages 133-143

    7. A Breeder Genetic Algorithm for Adaptive Filter Optimization

      • Oscar Montiel, Oscar Castillo
      Pages 145-155

    8. Intelligent Control of Robotic Autonomous Systems using a Neuro-Fuzzy-Genetic Approach

      • Julio Aguilar, Leocundo Aguilar, Oscar Castillo
      Pages 157-166

    9. Prediction of Power Requirement in Turning using a GA-Fuzzy Approach

      • Bikramjit Podder, Dilip Kumar Pratihar, Mohit Sehravat, Surojit Mondal, Ratan Joarder
      Pages 167-178

    10. Predictive Control of a Nonlinear Process Using Multiple Models Optimization Based on Fast Evolutionary Programming

      • Leandro Dos Santos Coelho, Otacílio da Mota Almeida, Rodrigo Rodrigues Sumar, Antonio Augusto Rodrigues Coelho
      Pages 179-190

    11. Some Realisation Issues of Fuzzy Gain-Scheduling Controllers: a Robotic Manipulator Case Study

      • Benjamin Čokan, Juš Kocijan
      Pages 191-200
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Editors and Affiliations

  • Enterprise Integration, Cranfield University, Cranfield, Bedford, UK

    Rajkumar Roy

  • Department of Pattern Recognition, Fraunhofer IPK-Berlin, Berlin, Germany

    Mario Köppen

  • Institute of Intelligent Electronics, Helsinki University of Technology, Espoo, Finland

    Seppo Ovaska

  • Department of Information Engineering, Mie University, Tsu, Japan

    Takeshi Furuhashi

  • Royal Institute of Technology, NADA/CV AP, Stockholm, Sweden

    Frank Hoffmann

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