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Fuzzy Logic, Neural Networks, and Evolutionary Computation

IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers

  • Conference proceedings
  • © 1996

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Editors:
  1. Takeshi Furuhashi
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  2. Yoshiki Uchikawa
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1152)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: WWW 1995.

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About this book

This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.
The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.

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Keywords

Table of contents (12 papers)

  1. Front Matter

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  2. The design of hybrid fuzzy/evolutionary multiobjective optimization algorithms

    • Michael A. Lee, Henrik Esbensen, Laurent Lemaitre
    Pages 1-20

  3. Structure identification of acquired knowledge in fuzzy inference by genetic algorithms

    • Shohachiro Nakanishi, Akihiro Ohtake, Ronald R. Yager, Shinobu Ohtani, Hiroaki Kikuchi
    Pages 21-34

  4. A fuzzy classifier system that generates linguistic rules for pattern classification problems

    • Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
    Pages 35-54

  5. Numerical coding and unfair average crossover in GA for fuzzy rule extraction in dynamic environments

    • Tatsuya Nomura, Tsutomu Miyoshi
    Pages 55-72

  6. Acquisition of fuzzy rules from DNA coding method

    • Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    Pages 73-88

  7. Experimental study on acquisition of optimal action for autonomous mobile robot to avoid moving multiobstacles

    • Takeshi Aoki, Toshiaki Oka, Soichiro Hayakawa, Tatsuya Suzuki, Shigeru Okuma
    Pages 89-103

  8. New approaches on structure identification of fuzzy models: Case study in an electro-mechanical system

    • P. J. Costa Branco, N. Lori, J. A. Dente
    Pages 104-143

  9. A generic fuzzy neuron and its application to motion estimation

    • Abbas Z. Kouzani, Abdesselam Bouzerdoum
    Pages 144-171

  10. Fizzy-Fuzzy inferencing

    • Andrzej Buller
    Pages 172-187

  11. Multi-layer perceptron design using Delaunay triangulations

    • Elena Pérez-Miñana, Peter Ross, John Hallam
    Pages 188-197

  12. A genetic algorithm for planning coal purchase of a real electric power plant

    • Masahiro Inuiguchi, Tadahiro Miyake, Masatoshi Sakawa, Isao Shiromaru
    Pages 198-214

  13. “CAM-Brain∝ ATR's billion neuron artificial brain project a three year progress report

    • Hugo de Garis
    Pages 215-243

  14. Back Matter

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  1. Fuzzy Logic, Neural Networks, and Evolutionary Computation

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