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Soft Computing in Industrial Applications

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Yukinori Suzuki

    1. Department of Computer Science & Systems Engineering, Muroran Institute of Technology, Muroran, Japan

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  2. Seppo Ovaska

    1. Department of Electrical & Communications Engineering, Helsinki University of Technology, Espoo, Finland

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  3. Takeshi Furuhashi

    1. Department of Information Electronics, Nagoya University, Furo-cho, Chikusaku, Nagoya, Japan

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  4. Rajkumar Roy

    1. Department of Enterprise Integration, School of Industrial & Manufacturing Science, Cranfield University, Bedford, UK

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  5. Yasuhiko Dote

    1. Department of Computer Science & Systems Engineering, Muroran Institute of Technology, Muroran, Japan

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  • Contributions from worldwide leading researchers in the field
  • Especially innovative chapters on Fuzzy computing, Neuro computing and Evolutionary computing

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Table of contents (58 papers)

  1. Front Matter

    Pages I-2
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  2. Fuzzy Computing

    1. Front Matter

      Pages 3-4
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    2. Fuzzy Process Model Development with Missing Data

      • Luis Collantes, Rajkumar Roy
      Pages 5-14

    3. Decomposed Fuzzy Models for Modelling and Identification of Dynamic Systems

      • Marjan Golob
      Pages 15-28

    4. Investigation of Least Square Fuzzy Identification via a Virtual Higher Resolution Fuzzy Model

      • K. M. Chow, A. B. Rad
      Pages 29-37

    5. Fuzzy Morphologies Revisited

      • Mario Köppen, Katrin Franke
      Pages 39-48

    6. A Design Method of Stable Non-separate Controller Using Symbolic Expressions

      • Hidehiro Yamamoto, Takeshi Furuhashi
      Pages 49-61

    7. Adjustment of Identified Fuzzy Measures

      • Osamu Furuya, Takehisa Onisawa
      Pages 63-77

    8. Design and Application of Block-Oriented Fuzzy Models — Fuzzy Hammerstein Model

      • Janos Abonyi, Robert Babuska, Ferenc Szeifert, Lajos Nagy, Henk Verbruggen
      Pages 79-88

    9. Evolving Fuzzy Detectives: An Investigation into the Evolution of Fuzzy Rules

      • Peter J. Bentley
      Pages 89-106

    10. Fuzzy Logic Two-phase Traffic Signal Control for Coordinated One-way Streets

      • Jarkko Niittymäki, Riku Nevala
      Pages 107-116

    11. Clustering Models Extracting Dynamic and Non-Dynamic Changes for 3-Way Data

      • Mika Sato-Ilic
      Pages 117-127

  3. Neuro Computing

    1. Front Matter

      Pages 129-130
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    2. Identification of Nonlinear Multivariable Processes by Neural Networks: Open-Loop and Closed-Loop Case Studies

      • Leandro dos Santos Coelho, Antonio Augusto Rodrigues Coelho
      Pages 131-140

    3. Modelling Batch Learning of Restricted Sets of Examples

      • K. Y. Michael Wong, Y. W. Tong, S. Li
      Pages 141-150

    4. Neural Networks with Hierarchically Structured Information and its Unlearning Effects

      • Takayuki Shirakura, Hidemi Fukada, Koichi Shindo
      Pages 151-160

    5. Discussion of Reliability Criterion for US Dollar Classification by LVQ

      • Tosihisa Kosaka, Norikazu Taketani, Sigeru Omatu, Kunihiro Ryo
      Pages 161-170

    6. Facility Location Using Neural Networks

      • F. Guerrero, S. Lozano, K. A. Smith, I. Eguia
      Pages 171-179

    7. Building Maps of Workspace for Autonomous Mobile Robots Using Self-Organizing Neural Networks

      • Katsuhiro Hori, Yukio Hashimoto, Shouyu Wang, Takeshi Tsuchiya
      Pages 181-190

    8. Neural Network Parameter Estimation and Dimensionality Reduction in Power System Voltage Stability Assessment

      • Sami Repo
      Pages 191-202
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Keywords

About this book

This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a common practice to combine two or three methodologies when solving complex problems. Also the systematic fusion of soft computing and hard computing is a highly potential alternative to be considered. Soft computing methodologies are suitable for various real-world applications, because the available information and system knowledge are often imprecise, un­ certain, or partially even incorrect. To handle such demanding conditions and obtain the required robustness with pure hard computing would typically be either very difficult or expensive. This book is a unique collection of technical articles providing a thorough overview of the state-of-the-art theory and industrial applications. The core articles on evolutionary computation, fuzzy computing, and neuro computing are of particular interest to researchers and practicing engineers.

Editors and Affiliations

  • Department of Computer Science & Systems Engineering, Muroran Institute of Technology, Muroran, Japan

    Yukinori Suzuki, Yasuhiko Dote

  • Department of Electrical & Communications Engineering, Helsinki University of Technology, Espoo, Finland

    Seppo Ovaska

  • Department of Information Electronics, Nagoya University, Furo-cho, Chikusaku, Nagoya, Japan

    Takeshi Furuhashi

  • Department of Enterprise Integration, School of Industrial & Manufacturing Science, Cranfield University, Bedford, UK

    Rajkumar Roy

Bibliographic Information

  • Book Title: Soft Computing in Industrial Applications

  • Editors: Yukinori Suzuki, Seppo Ovaska, Takeshi Furuhashi, Rajkumar Roy, Yasuhiko Dote

  • DOI: https://doi.org/10.1007/978-1-4471-0509-1

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 2000

  • Hardcover ISBN: 978-1-85233-293-8Published: 15 March 2000

  • eBook ISBN: 978-1-4471-0509-1Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XV, 670

  • Topics: Artificial Intelligence, Complexity, Theory of Computation

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