| Description |
viii, 223 pages : illustrations ; 24 cm |
| Series |
Lecture notes in artificial intelligence |
|
Lecture notes in computer science. Lecture notes in artificial intelligence.
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| Contents |
Fuzzy Associative Memory System and Its Application to Multi-Modal Interface / Hirohide Ushida, Tomohiko Sato, Toru Yamaguchi and Tomohiro Takagi--Hybrid Connectionist Fuzzy Systems for Speech Recognition and the use of Connectionist Production Systems/Nikola K. Kasabov--Fuzzy Gaussian Potential Neural Network Using a Functional Reasoning/Mohammed Tashnehlab and Keigo Watanabe--Recurrent Fuzzy Logic Using Neural Network/Emdad Khan and Fatih Unal--Information Aggregating Networks based on Extended Sugeno's Fuzzy Integral/Keon-Myung Lee and Hyung Lee-Kwang--A Neuro-Fuzzy Architecture for High Performance Classification/Sung-Bae Cho--Investigation of Stability and Robustness of a Fuzzy Traction Control System/Christian Schuster, Thomas Schmitz and Manfred Hiller--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 and T. Kobayashi |
|
A Framework for Studying the Effects of Dynamic Crossover, Mutation, and Population Sizing in Genetic Algorithms/Michael A. Lee and Hideyuki Takagi--Unsupervised/Supervised Learning for RBF-Fuzzy System -Adaptive Rules, Membership Functions and Hierarchical Structure by Genetic Algorithm/Koji Shimojima, Yasuhisa Hasegawa and Toshio Fukuda--Genetic Algorithms for the Development of Fuzzy Controllers for Mobile Robots/Donald Leitch and Penelope Probert --A New Approach to Genetic Based Machine Learning and an Efficient Finding of Fuzzy Rules-Proposal of Nagoya Approach/Takeshi Furuhashi, Yujiro Miyata, Ken Nakaoka and Yoshiki Uchikawa--A Neuro-Money Recognition Using Optimized Masks by GA/Fumiaki Takeda and Sigeru Omatu--Genetic-Fuzzy Systems for Financial Decision Making/Suran Goonatilake, John A. Campbell and Nesar Ahmad |
| Summary |
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 |
| Notes |
ANALYTIC |
| Bibliography |
Includes bibliographical references |
| Notes |
Also available in print |
|
Print version record |
| Subject |
Fuzzy systems.
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|
Genetic algorithms.
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Neural networks (Computer science)
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| Author |
Furuhashi, T. (Takeshi)
|
| LC no. |
95045670 |
| ISBN |
3540606076 (softcover : alk. paper) |
|
