ENGLISH

Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

By Patricia Melin , Janusz Kacprzyk , Witold Pedrycz (eds.) , Humberto Bustince , Miguel Pagola , Aranzazu Jurio , Edurne Barrenechea , Javier Fernández (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
3642045154, 9783642045158
DOI
10.1007/978-3-642-04516-5
Language
english
Format
PDF
Filesize
8 MB (8485011 bytes)
Series
Studies in Computational Intelligence 256
Edition
1
Pages
263\253
Scanned
yes
Time added
2012-03-17 06:00:00
Appl.Mathematics/Computational Methods of EngineerImage and Speech Processing; Computer ImagingPattern Recognition and GraphicsVision

Description

"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.

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