Computational Intelligence in Intelligent Data Analysis
Editors: Moewes, Christian, Nurnberger, Andreas (Eds.)
Free Preview- Present sleading Research on Computational Intelligence in Intelligent Data Analysis
- Festschrift published on the occasion of Rudolf Kruses 60th birthday
- Written by experts in the field
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- About this book
-
Complex systems and their phenomena are ubiquitous as they can be
found in biology, finance, the humanities, management sciences,
medicine, physics and similar fields.For many problems in these fields, there are no conventional ways to
mathematically or analytically solve them completely at low cost. On
the other hand, nature already solved many optimization problems
efficiently. Computational intelligence attempts to mimic
nature-inspired problem-solving strategies and methods.These strategies can be used to study, model and analyze complex
systems such that it becomes feasible to handle them. Key areas of
computational intelligence are artificial neural networks,
evolutionary computation and fuzzy systems.As only a few researchers in that field, Rudolf Kruse has contributed
in many important ways to the understanding, modeling and application
of computational intelligence methods. On occasion of his 60th
birthday, a collection of original papers of leading researchers in
the field of computational intelligence has been collected in this
volume.
- Table of contents (21 chapters)
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Objective Functions for Fuzzy Clustering
Pages 3-16
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Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral
Pages 17-29
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Can Fuzzy Clustering Avoid Local Minima and Undesired Partitions?
Pages 31-44
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Optimal Control Based on Fuzzy Logic
Pages 45-59
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Kernel Based Defuzzification
Pages 61-72
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Computational Intelligence in Intelligent Data Analysis
- Editors
-
- Christian Moewes
- Andreas Nurnberger
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 445
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-32378-2
- DOI
- 10.1007/978-3-642-32378-2
- Hardcover ISBN
- 978-3-642-32377-5
- Softcover ISBN
- 978-3-642-43085-5
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- X, 306
- Topics
