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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About this book
Publication of this book is a special event. This valuable title ?lls a se- ous gap in domestic science and technical literature. At the same time it introduces a reader to the most recent achievements in the quickly dev- oping branch of knowledge which the computational intelligence has been for several years. The ?eld, which is a subject of this book, is one of those important ?elds of science which enable to process information included in data and give their reasonable interpretation programmed by a user. Recent decades have brought a stormy development of computer te- niquesandrelatedcomputationalmethods.Togetherwiththeirappearance and quick progress, theoretical and applied sciences developed as well, - ablingtheusertofullyutilizenewlycreatedcomputationalpotentialandto getknowledgeoutofincreasingwealthofdata.Thedevelopmentofcom- tational intelligence is then strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Without them the development of this ?eld would be almost impossible, and its application practically marginal. That is why these techniques have especially developed in recent years. The development of computational intelligence systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. Nature when undertakes intelligent actions processes data in p- allel regulating and adjusting these actions through feedback mechanisms.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
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