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IEEE/Nagoya-University World Wisepersons Workshop 1994

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Takeshi Furuhashi:
Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms, IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 18994, Selected Papers. Lecture Notes in Computer Science 1011, Springer 1995, ISBN 3-540-60607-6

Fuzzy - Neural Networks

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  - conf/nagoya/UshidaSYT94
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Hirohide Ushida, Tomohiko Sato, Toru Yamaguchi, Tomohiro Takagi:
Fuzzy Associative Memory System and Its Application to Multi-Modal Interface. 1-18
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  - conf/nagoya/Kasabov94
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Nikola K. Kasabov:
Hybrid Connectionist Fuzzy Systems for Speech Recognition and the Use of Connectionist Production Systems. 19-33
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  - conf/nagoya/TeshnehlabW94
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Mohammad Teshnehlab, Keigo Watanabe:
Fuzzy Gaussian Potential Neural Networks Using a Functional Reasoning. 34-47
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  - conf/nagoya/KhanU94
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Emdad Khan, Fatih Unal:
Recurrent Fuzzy Logic Using Neural Network. 48-55
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Keon-Myung Lee, Hyung Lee-Kwang:
Information Aggregating Networks based on Extended Sugeno's Fuzzy Integral. 56-66
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  - conf/nagoya/Cho94
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Sung-Bae Cho:
A Neuro-Fuzzy Architecture for High Performance Classification. 67-84

Fuzzy Systems

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  - conf/nagoya/SchusterSH94
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Christian Schuster, Thomas Schmitz, Manfred Hiller:
Investigation of Stability and Robustness of a Fuzzy Traction Control System. 85-100
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  - conf/nagoya/HondaHNFK94
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Hiroyuki Honda, Taizo Hanai, Y. Nishida, I. Fukaya, Takeshi Kobayashi:
Knowledge-Based Rules for Control of the Sake (Ginjoshu) Making Process and Their Application in Fuzzy Control. 101-110

Fuzzy - Genetic Algorithms

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Michael A. Lee, Hideyuki Takagi:
A Framework for Studying the Effects of Dynamic Crossover, Mutation, and Population Sizing in Genetic Algorithms. 111-126
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  - conf/nagoya/ShimojimaHF94
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Koji Shimojima, Yasuhisa Hasegawa, Toshio Fukuda:
Unsupervised/Supervised Learning for RBF-Fuzzy Systema - Adaptive Rules, Membership Functions and Hierarchical Structure by Genetic Algorithm -. 127-147
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  - conf/nagoya/LeitchP94
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Donald Leitch, Penelope Probert:
Genetic Algorithms for the Development of Fuzzy Controllers for Mobile Robots. 148-172
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  - conf/nagoya/FuruhashiMNU94
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Takeshi Furuhashi, Yujiro Miyata, Ken Nakaoka, Yoshiki Uchikawa:
A New Approach to Genetic Based Machine Learning and an Efficient Finding of Fuzzy Rules - Proposal of Nagoya Approach -. 173-189

Fuzzy - GA Applications

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Fumiaki Takeda, Sigeru Omatu:
A Neuro-Money Recognition Using Optimised Masks by GA. 190-201
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Suran Goonatilake, John A. Campbell, Nesar Ahmad:
Genetic-Fuzzy Systems for Financial Decision Making. 202-223

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