Overview
Self-contained, easy accessible and comprehensive textbook for graduate students and researchers in computational intelligence
Well-organized modern approach to methods and techniques of intelligent calculations including examples and exercises in each chapter
Includes a preface by Jacek Zurada, president of IEEE Computational Intelligence Society
Rich and well structured compendium of information about computational intelligence
Topics include approximate and fuzzy sets, basic structures and methods of neural networks learning, grouping of data methods, Bayesian methods, evolutionary algorithms and decision tree algorithms
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Table of contents (10 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence
Book Subtitle: Methods and Techniques
Authors: Leszek Rutkowski
DOI: https://doi.org/10.1007/978-3-540-76288-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76287-4Published: 29 May 2008
Softcover ISBN: 978-3-642-09515-3Published: 19 October 2010
eBook ISBN: 978-3-540-76288-1Published: 24 May 2008
Edition Number: 1
Number of Pages: XIV, 514
Number of Illustrations: 242 b/w illustrations
Additional Information: Original Polish edition published by Polish Scientific Publishers PWN, 2005
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics, Control, Robotics, Mechatronics, Operations Research/Decision Theory