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Soft Computing for Hybrid Intelligent Systems

  • Editors
  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk
  • Witold Pedrycz

Part of the Studies in Computational Intelligence book series (SCI, volume 154)

Table of contents

  1. Front Matter
  2. Intelligent Control

    1. Front Matter
      Pages 1-1
    2. Nohé R. Cazarez-Castro, Luis T. Aguilar, Oscar Castillo, Selene Cárdenas
      Pages 19-28
    3. Jose Morales, Oscar Castillo, Jose Soria
      Pages 29-51
    4. Cristina Martinez, Oscar Castillo, Oscar Montiel
      Pages 71-86
  3. Pattern Recognition

  4. Intelligent Agents and Social Systems

    1. Front Matter
      Pages 187-187
    2. Jose A. Ruz-Hernandez, Edgar N. Sanchez, Dionisio A. Suarez
      Pages 205-230
    3. Manuel Castañón-Puga, Antonio Rodriguez-Diaz, Guillermo Licea, Eugenio Dante Suarez
      Pages 231-249
    4. Arnulfo Alanis Garza, Oscar Castillo, José Mario García Valdez
      Pages 251-267
    5. Eugenio Dante Suarez, Antonio Rodríguez-Díaz, Manuel Castañón-Puga
      Pages 269-293
  5. Hardware Implementations

    1. Front Matter
      Pages 295-295
    2. Yazmín Maldonado, Oscar Montiel, Roberto Sepúlveda, Oscar Castillo
      Pages 297-305
    3. Rogelio Serrano, Juan Tapia, Oscar Montiel, Roberto Sepúlveda, Patricia Melin
      Pages 307-314
    4. Martha Cárdenas, Juan Tapia, Roberto Sepúlveda, Oscar Montiel, Patricia Melín
      Pages 315-323
    5. José Á. Olivas, Roberto Sepúlveda, Oscar Montiel, Oscar Castillo
      Pages 325-331
    6. Gabriel Lizárraga, Roberto Sepúlveda, Oscar Montiel, Oscar Castillo
      Pages 333-343
  6. Modeling, Simulation and Optimization

    1. Front Matter
      Pages 345-345
    2. Juan R. Castro, Oscar Castillo, Patricia Melin, Antonio Rodríguez-Díaz
      Pages 363-386
    3. Ismael Millán, Oscar Montiel, Roberto Sepúlveda, Oscar Castillo
      Pages 437-446
  7. Back Matter

About this book

Introduction

Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. This edited book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects as well as application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described. 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 intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Keywords

Computational Intelligence Hybridd Intelligent Systems Simulation Soft Computing agents cognition intelligent systems modeling optimization pattern recognition

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70812-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-70811-7
  • Online ISBN 978-3-540-70812-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site