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Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. Selected Papers

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Takeshi Furuhashi
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1011)

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

Included in the following conference series:

Conference proceedings info: WWW 1994.

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Table of contents (14 papers)

  1. Front Matter

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  2. Fuzzy associative memory system and its application to multi-modal interface

    • Hirohide Ushida, Tomohiko Sato, Toru Yamaguchi, Tomohiro Takagi
    Pages 1-18

  3. Hybrid connectionist fuzzy systems for speech recognition and the use of connectionist production systems

    • Nikola K. Kasabov
    Pages 19-33

  4. Fuzzy gaussian potential neural networks using a functional reasoning

    • Mohammad Teshnehlab, Keigo Watanabe
    Pages 34-47

  5. Recurrent fuzzy logic using neural network

    • Emdad Khan, Fatih Unal
    Pages 48-55

  6. Information aggregating networks based on extended Sugeno's fuzzy integral

    • Keon-Myung Lee, Hyung Lee-Kwang
    Pages 56-66

  7. A neuro-fuzzy architecture for high performance classification

    • Sung-Bae Cho
    Pages 67-84

  8. Investigation of stability and robustness of a fuzzy traction control system

    • Christian Schuster, Thomas Schmitz, Manfred Hiller
    Pages 85-100

  9. Knowledge-based rules for control of the sake (Ginjoshu) making process and their application in fuzzy control

    • H. Honda, T. Hanai, Y. Nishida, I. Fukaya, T. Kobayashi
    Pages 101-110

  10. A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms

    • Michael A. Lee, Hideyuki Takagi
    Pages 111-126

  11. Unsupervised/supervised learning for RBF-fuzzy system

    • Koji Shimojima, Yasuhisa Hasegawa, Toshio Fukuda
    Pages 127-147

  12. Genetic algorithms for the development of fuzzy controllers for mobile robots

    • Donald Leitch, Penelope Probert
    Pages 148-172

  13. A new approach to genetic based machine learning and an efficient finding of fuzzy rules

    • T. Furuhashi, Y. Miyata, K. Nakaoka, Y. Uchikawa
    Pages 173-189

  14. A neuro-money recognition using optimized masks by GA

    • Fumiaki Takeda, Sigeru Omatu
    Pages 190-201

  15. Genetic-fuzzy systems for financial decision making

    • Suran Goonatilake, John A. Campbell, Nesar Ahmad
    Pages 202-223

  16. Back Matter

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Other volumes

  1. Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

Keywords

About this book

This book presents 14 rigorously reviewed revised papers selected from more than 50 submissions for the 1994 IEEE/ Nagoya-University World Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan.
The combination of approaches based on fuzzy logic, neural networks and genetic algorithms are expected to open a new paradigm of machine learning for the realization of human-like information processing systems. The first six papers in this volume are devoted to the combination of fuzzy logic and neural networks; four papers are on how to combine fuzzy logic and genetic algorithms. Four papers investigate challenging applications of fuzzy systems and of fuzzy-genetic algorithms.

Bibliographic Information

  • Book Title: Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

  • Book Subtitle: IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. Selected Papers

  • Editors: Takeshi Furuhashi

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-60607-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1995

  • Softcover ISBN: 978-3-540-60607-9Published: 15 November 1995

  • eBook ISBN: 978-3-540-48457-8Published: 06 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 232

  • Topics: Artificial Intelligence

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