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Soft Computing for Hybrid Intelligent Systems

  • Book
  • © 2008

Overview

Editors:
  1. Oscar Castillo
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    You can also search for this editor in PubMed   Google Scholar

  2. Patricia Melin
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  3. Janusz Kacprzyk
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  4. Witold Pedrycz
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  • Recent results in soft computing for hybrid intelligent systems

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

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Table of contents (27 chapters)

  1. Front Matter

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  2. Intelligent Control

    1. Front Matter

      Pages 1-1
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    2. Optimization of Interval Type-2 Fuzzy Logic Controllers for a Perturbed Autonomous Wheeled Mobile Robot Using Genetic Algorithms

      • Ricardo Martínez, Oscar Castillo, Luis T. Aguilar
      Pages 3-18

    3. Fuzzy Control for Output Regulation of a Servomechanism with Backlash

      • Nohé R. Cazarez-Castro, Luis T. Aguilar, Oscar Castillo, Selene Cárdenas
      Pages 19-28

    4. Stability on Type-1 and Type-2 Fuzzy Logic Systems

      • Jose Morales, Oscar Castillo, Jose Soria
      Pages 29-51

    5. Comparative Study of Type-1 and Type-2 Fuzzy Systems Optimized by Hierarchical Genetic Algorithms

      • Alma I. Martinez, Oscar Castillo, Mario Garcia
      Pages 53-70

    6. Comparison between Ant Colony and Genetic Algorithms for Fuzzy System Optimization

      • Cristina Martinez, Oscar Castillo, Oscar Montiel
      Pages 71-86

  3. Pattern Recognition

    1. Front Matter

      Pages 87-87
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    2. Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and Its Optimization with Genetic Algorithms

      • Denisse Hidalgo, Oscar Castillo, Patricia Melin
      Pages 89-114

    3. Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks

      • Olivia Mendoza, Patricia Melín, Guillermo Licea
      Pages 115-127

    4. Optimization of Response Integration with Fuzzy Logic in Ensemble Neural Networks Using Genetic Algorithms

      • Miguel Lopez, Patricia Melin, Oscar Castillo
      Pages 129-150

    5. Optimization of Modular Neural Network, Using Genetic Algorithms: The Case of Face and Voice Recognition

      • José M. Villegas, Alejandra Mancilla, Patricia Melin
      Pages 151-169

    6. A New Biometric Recognition Technique Based on Hand Geometry and Voice Using Neural Networks and Fuzzy Logic

      • Pedro Antonio Salazar-Tejeda, Patricia Melin, Oscar Castillo
      Pages 171-186

  4. Intelligent Agents and Social Systems

    1. Front Matter

      Pages 187-187
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    2. A Hybrid Model Based on a Cellular Automata and Fuzzy Logic to Simulate the Population Dynamics

      • Cecilia Leal Ramírez, Oscar Castillo
      Pages 189-203

    3. Soft Margin Training for Associative Memories: Application to Fault Diagnosis in Fossil Electric Power Plants

      • Jose A. Ruz-Hernandez, Edgar N. Sanchez, Dionisio A. Suarez
      Pages 205-230

    4. Social Systems Simulation Person Modeling as Systemic Constructivist Approach

      • Manuel Castañón-Puga, Antonio Rodriguez-Diaz, Guillermo Licea, Eugenio Dante Suarez
      Pages 231-249

    5. Modeling and Simulation by Petri Networks of a Fault Tolerant Agent Node

      • Arnulfo Alanis Garza, Oscar Castillo, José Mario García Valdez
      Pages 251-267

    6. Fuzzy Agents

      • Eugenio Dante Suarez, Antonio Rodríguez-Díaz, Manuel Castañón-Puga
      Pages 269-293

  5. Hardware Implementations

    1. Front Matter

      Pages 295-295
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Keywords

About this book

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, 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 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.

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