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
Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computer Science (TCS)
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Table of contents (25 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
Reviews
From the reviews:
“This book teaches computational intelligence (CI) in a thorough, methodological manner that is theoretically profound and educationally oriented. … this book is well designed for the independent student who wishes to learn the fundamentals of CI without the need for an instructor. The organization and thorough step-by-step methodology makes it an excellent startup guide for someone who wants to learn CI … . This book is targeted at beginners, students, or professionals who wish to understand CI.” (Mario Antoine Aoun, Computing Reviews, February, 2014)
“The book under review is a textbook that features sub-symbolic approaches developed within the field of Artificial Intelligence … . It can be used as a companion book for lectures, with exercises and slides to be found on the book’s website. With its focus on sub-symbolic approaches, it presents a comprehensive and detailled source of information complementary to other commonly used textbooks in Artificial Intelligence that mostly focus on symbolic approaches.” (Jana Köhler, zbMATH, Vol. 1283, 2014)
“The book is a comprehensive treatise on computational intelligence with a focus on the underlying methodology and algorithms. … The reader can enjoy a comprehensive and systematically arranged exposure of the material. … The references following each chapter can serve as a list of introductory readings on the individual areas of computational intelligence. … the reader gains a good sense of computational intelligence as an important endeavor supporting analysis and synthesis of intelligent systems. … a useful compendium of knowledge for a broad audience.” (Witold Pedrycz, Mathematical Reviews, November, 2013)Authors and Affiliations
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Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
Rudolf Kruse, Christian Moewes, Pascal Held
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Intelligent Data Analysis & Graphical, Models Research Unit, European Centre for Soft Computing, Mieres, Spain
Christian Borgelt
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FB Informatik, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
Frank Klawonn
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SAP Innovation Center, Potsdam, Germany
Matthias Steinbrecher
About the authors
Rudolf Kruse is a full professor at the Department of Computer Science of the Otto-von-Guericke University of Magdeburg, Germany, where he leads the working group on computational intelligence. Christian Moewes and Pascal Held are research assistants at the same institution. Christian Borgelt is a principal researcher at the European Centre for Soft Computing, Mieres, Spain. Frank Klawonn is a Professor at the Department of Computer Science of Ostfalia University of Applied Sciences, Wolfenbüttel, Germany. Matthias Steinbrecher is a member of the SAP Innovation Center, Potsdam, Germany.
Bibliographic Information
Book Title: Computational Intelligence
Book Subtitle: A Methodological Introduction
Authors: Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
Series Title: Texts in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-5013-8
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Softcover ISBN: 978-1-4471-5849-3Published: 08 February 2015
eBook ISBN: 978-1-4471-5013-8Published: 27 March 2013
Series ISSN: 1868-0941
Series E-ISSN: 1868-095X
Edition Number: 1
Number of Pages: XII, 492
Topics: Artificial Intelligence, Mathematical and Computational Engineering