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Overview
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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About this book
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.
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Keywords
Table of contents (14 papers)
Other volumes
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Advances in Fuzzy Logic, Neural Networks and 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
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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