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© 2009

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

  • Patricia Melin
  • Janusz Kacprzyk
  • Witold Pedrycz
Book

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

Table of contents

  1. Front Matter
  2. Introductory Concepts and Models

    1. Front Matter
      Pages 1-1
    2. Humberto Bustince, Miguel Pagola, Aranzazu Jurio, Edurne Barrenechea, Javier Fernández, Pedro Couto et al.
      Pages 3-32
    3. Gustavo Olague, Leonardo Trujillo
      Pages 49-65
  3. Modular Neural Networks in Pattern Recognition

  4. Neural Network Models and Time Series Prediction

    1. Front Matter
      Pages 141-141
    2. Martha Pulido, Alejandra Mancilla, Patricia Melin
      Pages 143-155
    3. Gerardo M. Mendez, Angeles Hernandez
      Pages 157-164
    4. Eduardo Gomez-Ramirez, Enrique Haro Sedeño, Giovanni Egidio Pazienza
      Pages 165-175
    5. Mario I. Chacon Murguia, Leonardo Valencia Olvera, Alfonso Delgado Reyes
      Pages 177-195
  5. Optimization and Robotics

About this book

Introduction

"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.

Keywords

Bio-Inspired Hybrid Intelligent Systems Computational Intelligence Pattern Recognition algorithms fingerprint fuzzy logic fuzzy set genetic programming image analysis image processing

Editors and affiliations

  • Patricia Melin
    • 1
  • Janusz Kacprzyk
    • 2
  • Witold Pedrycz
    • 3
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Systems Research Institute, NewelskaPolish Academy of SciencesWarszawaPoland
  3. 3.Dept. Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada

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