Soft Computing Applications in Optimization, Control, and Recognition

  • Patricia Melin
  • Oscar Castillo

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 294)

Table of contents

  1. Front Matter
    Pages 1-7
  2. Optimization Methods and Applications

    1. Front Matter
      Pages 1-1
    2. Arturo Rodriguez-Cristerna, Jose Torres-Jimenez
      Pages 27-51
    3. J. David Terán-Villanueva, Héctor Joaquín Fraire Huacuja, Juan Martín Carpio Valadez, Rodolfo A. Pazos Rangel, Héctor José Puga Soberanes, José Antonio Martínez Flores
      Pages 53-74
  3. Soft Computing in Intelligent Control Applications

    1. Front Matter
      Pages 75-75
    2. Yazmin Maldonado, Oscar Castillo, Patricia Melin
      Pages 97-124
  4. Soft Computing in Pattern Recognition Applications

    1. Front Matter
      Pages 155-155
    2. Emanuel Morales-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Vicente Alarcón-Aquino
      Pages 215-236
  5. Soft Computing: Theory and New Models

    1. Front Matter
      Pages 237-237
    2. Juan Paulo Alvarado-Magaña, Antonio Rodríguez-Díaz, Juan R. Castro, Oscar Castillo
      Pages 265-286
    3. Soria-Alcaraz Jorge A., Carpio Martin, Puga Héctor, Terashima-Marin Hugo, Cruz Reyes Laura, Sotelo-Figueroa Marco A.
      Pages 287-319
    4. Josué Domínguez, Oscar Montiel-Ross, Roberto Sepúlveda
      Pages 321-341
  6. Back Matter
    Pages 0--1

About this book

Introduction

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.

Keywords

Complex Problems Fuzzy Logic Hybrid Intelligent Systems Intelligent Control Nature-inspired Models Neural Networks Optimization Pattern Recognition Soft Computing

Editors and affiliations

  • Patricia Melin
    • 1
  • Oscar Castillo
    • 2
  1. 1., Graduate Program of Computer ScienceTijuana Institute of TechnologyTijuanaMexico
  2. 2., Graduate Program of Computer ScienceTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35323-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-35322-2
  • Online ISBN 978-3-642-35323-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book
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