© 1999

Computational Intelligence

Theory and Applications International Conference, 6th Fuzzy Days Dortmund, Germany, May 25–28 1999 Proceedings

  • Bernd Reusch
Conference proceedings Fuzzy Days 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1625)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Topological Theory of Fuzziness

    1. Rudolf F. Albrecht
      Pages 1-11
  3. Similarity Based System Reconfiguration by Fuzzy Classification and Hierarchical Interpolate Fuzzy Reasoning

  4. A Fuzzy System for Fetal Heart Rate Assessment

    1. J. F. Skinner, J. M. Garibaldi, E. C. Ifeachor
      Pages 20-29
  5. Efficient Graph Coloring by Evolutionary Algorithms

    1. Nicole Drechsler, Wolfgang Günther, Rolf Drechsler
      Pages 30-39
  6. Determination of Decision Rules on the Basis of Genetic Algorithms

    1. Arita Takahashi, Arkady Borisov
      Pages 40-46
  7. Modeling a Refrigeration System Using Recurrent Neural Networks

  8. Evaluating Nugget Sizes of Spot Welds by Using Artificial Neural Network

    1. Tan Yiming, Fang Ping, Zhang Yong, Yang Siqian
      Pages 53-58
  9. Spotting Relevant Information in Extremely Large Document Collections

  10. Fuzzy Controller Generation with a Fuzzy Classification Method

  11. Transformation and Optimization of Fuzzy Controllers Using Signal Processing Techniques

  12. Fuzzy-Control Design Tool for Low-Cost Microcontrollers (FHFC-Tool)

    1. Klaus-Dietrich Kramer, Jochen Kirschner, Sven Wöhlbier
      Pages 88-92
  13. Search of Optimal Error Correcting Codes with Genetic Algorithms

    1. Jérôme Lacan, Pascal Chatonnay
      Pages 93-98
  14. An Unsupervised Clustering with Evolutionary Strategy to Estimate the Cluster Number

    1. Katsuki Imai, Naotake Kamiura, Yutaka Hata
      Pages 99-107
  15. Multi-objective Optimization in Evolutionary Algorithms Using Satisfiability Classes

    1. Nicole Drechsler, Rolf Drechsler, Bernd Becker
      Pages 108-117
  16. Neural Network Approach to Design of Distributed Hard Real-Time Systems

  17. Supporting Traditional Controllers of Combustion Engines by Means of Neural Networks

    1. Claudia Ungerer, Dirk Stübener, Clemens Kirchmair, Michael Sturm
      Pages 132-141
  18. Controlling Biological Wastewater Treatment Plants Using Fuzzy Control and Neural Networks

  19. A New Fuzzy Character Segmentation Algorithm for Persian / Arabic Typed Texts

    1. Mohammad Bagher Menhaj, Farbod Razzazi
      Pages 151-158
  20. RePART: A Modified Fuzzy ARTMAP for Pattern Recognition

    1. Anne Canuto, Gareth Howells, Michael Fairhurst
      Pages 159-168

About these proceedings


Fuzzy Days in Dortmund were held for the first time in 1991. Initially, the con­ ference was intended for scientists and practitioners as a platform for discussions on theory and application of fuzzy logic. Early on, synergetic links with neural networks were included and the conference evolved gradually to embrace the full spectrum of what is now called Computational Intelligence (CI). Therefore, it seemed logical to launch the 4th Fuzzy Days in 1994 as a conference for CI—one of the world's first conferences featuring fuzzy logic, neural networks and evolu­ tionary algorithms together in one event. Following this successful tradition, the 6th Fuzzy Days' aim is to provide an international forum for reporting significant results on the theory and application of Cl-methods. Once again, we have received a remarkable number of papers. I would like to express my gratitude to all who have been interested in presenting their work within the framework of this conference and to the members of the programme committee for their valuable work (in this edition each paper was reviewed by five referees). In particular, I wish to thank all keynote and tutorial speakers for their commitment. Last but not least, I am obliged to the Deutsche Forschun- gemeinschaft and Kommunalverband Ruhrgebiet for their financial support.


algorithms computational intelligence fuzzy fuzzy system genetic algorithm genetic algorithms intelligence neural network

Editors and affiliations

  • Bernd Reusch
    • 1
  1. 1.Computer Science IUniversity of DortmundDortmundGermany

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