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

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  • © 2009

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Editors:
  1. Patricia Melin

    1. Department of Computer Science, Tijuana Institute of Technology, Chula Vista, USA

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  2. Janusz Kacprzyk

    1. Systems Research Institute, Newelska, Polish Academy of Sciences, Warszawa, Poland

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  3. Witold Pedrycz

    1. Dept. Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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  • Recent results in Bio-inspired hybrid intelligent systems for Image Analysis and Pattern Recognition

Part of the book series: Studies in Computational Intelligence (SCI, volume 256)

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About this book

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 into 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 in which both theoretical and application aspects are covered.

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Table of contents (15 chapters)

  1. Front Matter

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  2. Introductory Concepts and Models

    1. Front Matter

      Pages 1-1
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    2. A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing

      • Humberto Bustince, Miguel Pagola, Aranzazu Jurio, Edurne Barrenechea, Javier Fernández, Pedro Couto et al.
      Pages 3-32

    3. Interval Type-2 Fuzzy Cellular Model Applied to the Dynamics of a Uni-specific Population Induced by Environment Variations

      • Cecilia Leal-Ramirez, Oscar Castillo, Antonio Rodriguez-Diaz
      Pages 33-47

    4. A Genetic Programming Approach to the Design of Interest Point Operators

      • Gustavo Olague, Leonardo Trujillo
      Pages 49-65

  3. Modular Neural Networks in Pattern Recognition

    1. Front Matter

      Pages 67-67
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    2. Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration

      • Ricardo Muñoz, Oscar Castillo, Patricia Melin
      Pages 69-79

    3. Modular Neural Networks with Fuzzy Response Integration for Signature Recognition

      • Mónica Beltrán, Patricia Melin, Leonardo Trujillo
      Pages 81-91

    4. Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural Networks with Fuzzy Integration of Responses

      • Magdalena Serrano, Erika Ayala, Patricia Melin
      Pages 93-109

    5. Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry

      • Denisse Hidalgo, Patricia Melin, Guillermo Licea
      Pages 111-121

    6. Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern Recognition

      • Miguel Lopez, Patricia Melin, Oscar Castillo
      Pages 123-140

  4. Neural Network Models and Time Series Prediction

    1. Front Matter

      Pages 141-141
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    2. Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction

      • Martha Pulido, Alejandra Mancilla, Patricia Melin
      Pages 143-155

    3. Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster

      • Gerardo M. Mendez, Angeles Hernandez
      Pages 157-164

    4. Discovering Universal Polynomial Cellular Neural Networks through Genetic Algorithms

      • Eduardo Gomez-Ramirez, Enrique Haro Sedeño, Giovanni Egidio Pazienza
      Pages 165-175

    5. EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding

      • Mario I. Chacon Murguia, Leonardo Valencia Olvera, Alfonso Delgado Reyes
      Pages 177-195
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Editors and Affiliations

  • Department of Computer Science, Tijuana Institute of Technology, Chula Vista, USA

    Patricia Melin

  • Systems Research Institute, Newelska, Polish Academy of Sciences, Warszawa, Poland

    Janusz Kacprzyk

  • Dept. Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

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