Bio-inspired hybrid intelligent systems for image analysis and pattern recognition /

Bio-inspired hybrid intelligent systems for image analysis and pattern recognition /

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Bibliographic Details
Imprint:Berlin : Springer, ©2009.
Description:1 online resource (viii, 262 pages) : illustrations.
Language:English
Series:Studies in computational intelligence, 1860-949X ; v. 256
Studies in computational intelligence ; v. 256.
Subject:
Image analysis.
Pattern perception.
Intelligent control systems.
Soft computing.
Image analysis.
Intelligent control systems.
Pattern perception.
Soft computing.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11073563
Hidden Bibliographic Details
Other authors / contributors:Melin, Patricia, 1962-
Kacprzyk, Janusz.
Pedrycz, Witold, 1953-
ISBN:9783642045165
3642045162
9783642045158
3642045154
Notes:Includes bibliographical references and index.
Print version record.
Summary:"Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided in four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book where both theoretical and application aspects are covered.
Other form:Print version: Bio-inspired hybrid intelligent systems for image analysis and pattern recognition. Berlin : Springer Verlag, ©2009 9783642045158

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