Overview
- Editors:
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Patricia Melin
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Tijuana Institute of Technology, Chula Vista, USA
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Janusz Kacprzyk
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Polish Academy of Sciences, Warsaw, Poland
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Witold Pedrycz
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University of Alberta, Edmonton, Canada
- Recent research in Soft Computing for Recognition based on Biometrics
- Carefully edited book
- Written by experts in the field
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Table of contents (27 chapters)
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Optimization Methods
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- Leslie Astudillo, Patricia Melin, Oscar Castillo
Pages 277-283
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Theory and Algorithms
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Front Matter
Pages 285-285
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- José Parra Galaviz, Patricia Melin, Leonardo Trujillo
Pages 287-302
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- Martha Cárdenas, Patricia Melin, Laura Cruz
Pages 303-315
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- Mario I. Chacon-Murguia, Cynthia P. Guerrero-Saucedo, Rafael Sandoval-Rodriguez
Pages 317-331
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- Héctor Fraire Huacuja, José Luis González-Velarde, Guadalupe Castilla Valdez
Pages 333-347
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- Carpio MartÃn, Soria-Alcaraz Jorge A., Puga Héctor J., Baltazar Rosario, Ornelas Manuel, Mancilla LuÃs Ernesto
Pages 349-364
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- Juan Javier González-Barbosa, José Francisco Delgado-Orta, Laura Cruz-Reyes, Héctor JoaquÃn Fraire-Huacuja, Apolinar Ramirez-Saldivar
Pages 365-385
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Computer Vision Applications
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Front Matter
Pages 387-387
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- Olivia Mendoza, Patricia Melin, Oscar Castillo, Juan Ramon Castro
Pages 389-399
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- Roberto Sepúlveda, Oscar Montiel, Alfredo González, Patricia Melin
Pages 401-422
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- Oscar Montiel, Roberto Sepúlveda, Alfredo González, Patricia Melin
Pages 423-441
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- Pablo Rivas-Perea, Jose G. Rosiles, Mario I. Chacon Murguia, James J. Tilton
Pages 443-454
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About this book
We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.
Editors and Affiliations
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Tijuana Institute of Technology, Chula Vista, USA
Patricia Melin
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Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
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University of Alberta, Edmonton, Canada
Witold Pedrycz