Rutkowski - Computational Intelligence - Methods and Techniques (2005).pdf - AI, Pattern matching, Data Modelling & Analysis - Yohoho25

Computational Intelligence

Leszek Rutkowski

Computational Intelligence

Methods and Techniques

123

Prof. Leszek Rutkowski

Department of Computer Engineering

Technical University of Czestochowa

Armii Krajowej 36

42-200 Czestochowa

Poland

Irutko@kik.pcz.czest.pl

ISBN 978-3-540-76287-4

e-ISBN 978-3-540-76288-1

Originally published in Polish

METODY I TECHNIKI SZTUCZNEJ INTELIGENCJI

by Leszek Rutkowski, 2005 by Polish Scientiﬁc Publishers PWN

Library of Congress Control Number: 2008921395

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is

concerned, speciﬁcally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,

reproduction on microﬁlm or in any other way, and storage in data banks. Duplication of this publication

or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,

1965, in its current version, and permission for use must always be obtained from Springer. Violations are

liable to prosecution under the German Copyright Law.

The use of general descriptive names, registered names, trademarks, 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.

Printed on acid-free paper

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Foreword

Publication of this book is a special event. This valuable title ﬁlls a seri-

ous gap in domestic science and technical literature. At the same time it

introduces a reader to the most recent achievements in the quickly devel-

oping branch of knowledge which the computational intelligence has been

for several years. The ﬁeld, which is a subject of this book, is one of those

important ﬁelds 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 tech-

niques and related computational methods. Together with their appearance

and quick progress, theoretical and applied sciences developed as well, en-

abling the user to fully utilize newly created computational potential and to

get knowledge out of increasing wealth of data. The development of compu-

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 ﬁeld 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 par-

allel regulating and adjusting these actions through feedback mechanisms.

In such a system learning neural networks function. Another example can

be optimization algorithms modeled based on natural selection processes

or fuzzy logic systems reﬂecting vagueness, fuzziness, subjectivity or rela-

tivism of human being assessments.

Rutkowski - Computational Intelligence - Methods and Techniques (2005).pdf

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