文档介绍：Patricia Melin
Oscar Castillo
Hybrid Intelligent Systems
for Pattern Recognition
Using puting
An Evolutionary Approach
for works and Fuzzy Systems
123
Professor Patricia Melin
Professor Oscar Castillo
Tijuana Institute of Technology
Department puter Science
4207
Chula Vista, CA 91909, USA
E-mail: ******@
******@
ISSN print edition:1434-9922
ISSN electronic edition:1860-0808
ISBN 3-540-24121-3 Springer Berlin Heidelberg New York
Library of Congress Control Number: 2004116661
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. Dupli-
cation 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 for prosecution under the German Copyright Law.
Springer is a part of Springer Science+Business Media
© Springer-Verlag Berlin Heidelberg 2005
Printed in Germany
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.
Typesetting: by the authors and TechBooks using a Springer LATEXmacropackage
Cover design: E. Kirchner, Springer Heidelberg
Printed on acid-free paper 62/3141/jl- 543210
Preface
We describe in this book, new methods for intelligent pattern recognition using
puting techniques. puting (SC) consists of put-
ing paradigms, including fuzzy logic, works, and ic algorithms,
which can be used to produce powerful hybrid intelligent systems for pattern
recognition. Hybrid intellig