Authors:
Written by a team of highly-regarded experts, with extensive experience in both academia and industry
Offers a profound theoretical introduction to computational intelligence for both students and practitioners
Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools
Fully revised new edition, expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs
Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computer Science (TCS)
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Table of contents (27 chapters)
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Front Matter
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Evolutionary Algorithms
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Front Matter
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Fuzzy Systems
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Front Matter
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About this book
Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.
Reviews
“It is a great book, very well written, that presents solid content in a very rigorous theoretical and practical way and provides an excellent methodological guide to the area of computational intelligence —one that could be qualified as a ‘must’ for the library of any student, professor, researcher or professional in that area.” (José Luis Verdegay, Mathematical Reviews, May, 2017)
Authors and Affiliations
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Otto-von-Guericke-University, Magdeburg, Germany
Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim
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SAP Innovation Center, Potsdam, Germany
Matthias Steinbrecher
About the authors
Bibliographic Information
Book Title: Computational Intelligence
Book Subtitle: A Methodological Introduction
Authors: Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
Series Title: Texts in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-7296-3
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Ltd., part of Springer Nature 2016
Softcover ISBN: 978-1-4471-7398-4Published: 08 June 2018
eBook ISBN: 978-1-4471-7296-3Published: 16 September 2016
Series ISSN: 1868-0941
Series E-ISSN: 1868-095X
Edition Number: 2
Number of Pages: XIII, 564
Number of Illustrations: 255 b/w illustrations
Topics: Artificial Intelligence, Mathematical and Computational Engineering