Overview
Part of the book series: International Series in Intelligent Technologies (ISIT, volume 18)
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Table of contents (35 chapters)
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Front Matter
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Methodologies
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Front Matter
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Applications
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Front Matter
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Keywords
About this book
Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches.
The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.
Bibliographic Information
Book Title: Advances in Computational Intelligence and Learning
Book Subtitle: Methods and Applications
Editors: Hans-Jürgen Zimmermann, Georgios Tselentis, Maarten Someren, Georgios Dounias
Series Title: International Series in Intelligent Technologies
DOI: https://doi.org/10.1007/978-94-010-0324-7
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2002
Hardcover ISBN: 978-0-7923-7645-3Published: 31 January 2002
Softcover ISBN: 978-94-010-3872-0Published: 05 November 2012
eBook ISBN: 978-94-010-0324-7Published: 06 December 2012
Series ISSN: 1382-3434
Edition Number: 1
Number of Pages: XVI, 515
Topics: Mathematical Logic and Foundations, Artificial Intelligence, Operations Research/Decision Theory