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.
Edited by:
Takeshi Furuhashi
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 1995 ed.
Volume: 1011
Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 12mm
Weight: 760g
ISBN: 9783540606079
ISBN 10: 3540606076
Series: Lecture Notes in Artificial Intelligence
Pages: 232
Publication Date: 15 November 1995
Audience:
College/higher education
,
Professional and scholarly
,
Further / Higher Education
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Fuzzy associative memory system and its application to multi-modal interface.- Hybrid connectionist fuzzy systems for speech recognition and the use of connectionist production systems.- Fuzzy gaussian potential neural networks using a functional reasoning.- Recurrent fuzzy logic using neural network.- Information aggregating networks based on extended Sugeno's fuzzy integral.- A neuro-fuzzy architecture for high performance classification.- Investigation of stability and robustness of a fuzzy traction control system.- Knowledge-based rules for control of the sake (Ginjoshu) making process and their application in fuzzy control.- A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms.- Unsupervised/supervised learning for RBF-fuzzy system.- Genetic algorithms for the development of fuzzy controllers for mobile robots.- A new approach to genetic based machine learning and an efficient finding of fuzzy rules.- A neuro-money recognition using optimized masks by GA.- Genetic-fuzzy systems for financial decision making.
