Advances in Computational Intelligence and Learning

Methods and Applications

Hans-Jürgen Zimmermann, Georgios Tselentis, Maarten van Someren , Georgios Dounias

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English

Kluwer Academic Publishers
31 January 2002

Fuzzy set theory; Artificial intelligence

Series: International Series in Intelligent Technologies

Summary
Details

This work presents developments and applications in the area of computational intelligence, which essentially describes methods and approaches that mimic biologically intelligent behaviour in order to solve problems that have been difficult to solve by classical mathematics. Fuzzy technology, artificial neural nets and evolutionary computing are considered to be such approaches. The Editors have assembled 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.

Edited by: Hans-Jürgen Zimmermann, Georgios Tselentis, Maarten van Someren, Georgios Dounias
Imprint: Kluwer Academic Publishers
Country of Publication: United States
Edition: 2002 ed.
Volume: 18
Dimensions: Height: 235mm, Width: 155mm, Spine: 30mm
Weight: 963g
ISBN: 9780792376453
ISBN 10: 0792376455
Series: International Series in Intelligent Technologies
Pages: 515
Publication Date: 31 January 2002
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active