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.
Author(s): Hirohide Ushida, Tomohiko Sato (auth.), Takeshi Furuhashi (eds.)
Series: Lecture Notes in Computer Science 1011 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995
Language: English
Pages: 232
City: Berlin; New York
Tags: Artificial Intelligence (incl. Robotics)
Fuzzy associative memory system and its application to multi-modal interface....Pages 1-18
Hybrid connectionist fuzzy systems for speech recognition and the use of connectionist production systems....Pages 19-33
Fuzzy gaussian potential neural networks using a functional reasoning....Pages 34-47
Recurrent fuzzy logic using neural network....Pages 48-55
Information aggregating networks based on extended Sugeno's fuzzy integral....Pages 56-66
A neuro-fuzzy architecture for high performance classification....Pages 67-84
Investigation of stability and robustness of a fuzzy traction control system....Pages 85-100
Knowledge-based rules for control of the sake (Ginjoshu) making process and their application in fuzzy control....Pages 101-110
A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms....Pages 111-126
Unsupervised/supervised learning for RBF-fuzzy system....Pages 127-147
Genetic algorithms for the development of fuzzy controllers for mobile robots....Pages 148-172
A new approach to genetic based machine learning and an efficient finding of fuzzy rules....Pages 173-189
A neuro-money recognition using optimized masks by GA....Pages 190-201
Genetic-fuzzy systems for financial decision making....Pages 202-223
