Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

Takeshi Furuhashi

ISBN 10: 3540606076 / ISBN 13: 9783540606079

Verlag: Springer Berlin Heidelberg Nov 1995, 1995

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Bestandsnummer des Verkäufers 9783540606079

Bibliografische Details

• Titel: Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms
• Verlag: Springer Berlin Heidelberg Nov 1995
• Erscheinungsjahr: 1995
• Sprache: Englisch
• ISBN-10: 3540606076
• ISBN-13: 9783540606079
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 14 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 14 mm
• Gewicht: 371 Gramm

Über diesen Titel

Inhaltsangabe

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.