Overview
- 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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Evolutionary Algorithms
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Fuzzy Systems
Keywords
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 colonyoptimization 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
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