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Computational Intelligence- A Methodological Introduction
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Texts in Computer Science
Computational
Intelligence
Rudolf Kruse
Christian Borgelt
Frank Klawonn
Christian Moewes
Matthias Steinbrecher
Pascal Held
A Methodological Introduction
Rudolf Kruse
r
Christian Borgelt
r
Frank Klawonn
r
Christian Moewes
r
Matthias Steinbrecher
r
Pascal Held
Computational
Intelligence
A Methodological Introduction
Rudolf Kruse
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Magdeburg, Germany
Christian Borgelt
Intelligent Data Analysis & Graphical
Models Research Unit
European Centre for Soft Computing
Mieres, Spain
Frank Klawonn
FB Informatik
Ostfalia University of Applied Sciences
Wolfenbüttel, Germany
Christian Moewes
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Magdeburg, Germany
Matthias Steinbrecher
SAP Innovation Center
Potsdam, Germany
Pascal Held
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Magdeburg, Germany
Series Editors
David Gries
Department of Computer Science
Cornell University
Ithaca, NY, USA
Fred B. Schneider
Department of Computer Science
Cornell University
Ithaca, NY, USA
ISSN 1868-0941 ISSN 1868-095X (electronic)
Texts in Computer Science
ISBN 978-1-4471-5012-1 ISBN 978-1-4471-5013-8 (eBook)
DOI 10.1007/978-1-4471-5013-8
Springer London Heidelberg New York Dordrecht
Library of Congress Control Number: 2013935341
© Springer-Verlag London 2013
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology
now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection
with reviews or scholarly analysis or material supplied specifically for the purpose of being entered
and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of
this publication or parts thereof is permitted only under the provisions of the Copyright Law of the
Publisher’s location, in its current version, and permission for use must always be obtained from Springer.
Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations
are liable to prosecution under the respective Copyright Law.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.
While the advice and information in this book are believed to be true and accurate at the date of pub-
lication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any
errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect
to the material contained herein.
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Computational Intelligence comprises concepts, paradigms, algorithms and imple-
mentations of systems that are supposed to exhibit intelligent behavior in complex
environments. It relies heavily on sub-symbolic, predominantly nature-analog or at
least nature-inspired methods. These methods have the advantage that they toler-
ate incomplete, imprecise and uncertain knowledge and thus also facilitate finding
solutions that are approximative, manageable and robust at the same time.
The choice of topics in this books reflects the most important fields in the area
of Computational Intelligence. Classical fields such as Artificial Neural Networks,
Fuzzy Systems and Evolutionary Algorithms are described in considerable detail.
However, newer methods such as Ant Colony Optimization and Probabilistic Graph-
ical Models are discussed as well, although a complete coverage of all approaches
and developments is clearly impossible to achieve in a single volume.
Rather than to strive for completeness, our goal is to give a methodical introduc-
tion to the area of Computational Intelligence. Hence, we try not only to present
fundamental concepts and their implementations, but also explain the theoretical
background of proposed problem solutions. In addition, we hope to convey to a
reader what is necessary in order to apply these methods successfully.
This textbook is primarily meant as a companion book for lectures on the covered
topics in the area of Computational Intelligence. However, it may also be used for
self-study by students and practitioners from industry and commerce. This book is
based on notes of lectures, exercise lessons and seminars that have been given by
the authors for many years. On the book’s website
http://www.computational-intelligence.eu/
a lot of additional material for lectures on Neural Networks, Evolutionary Algo-
rithms, Fuzzy Systems and Bayesian Networks can be found, including module de-
scriptions, lecture slides, exercises with solutions, hints to software tools etc.
Rudolf Kruse
Christian Borgelt
Frank Klawonn
Christian Moewes
Matthias Steinbrecher
Pascal Held
Magdeburg, Germany
v
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