Recent Advances on Hybrid Approaches for Designing Intelligent Systems

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

Part of the Studies in Computational Intelligence book series (SCI, volume 547)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Type-2 Fuzzy Logic

  3. Bio-Inspired Algorithms

    1. Front Matter
      Pages 137-137
    2. Alberto Ochoa-Zezzatti, Oscar Castillo, Patricia Melín, Nemesio Castillo, Sandra Bustillos, Julio Arreola
      Pages 139-150
    3. Anabel Martínez-Vargas, Ángel G. Andrade, Roberto Sepúlveda, Oscar Montiel-Ross
      Pages 151-162
    4. Cinthya Solano-Aragón, Oscar Castillo
      Pages 177-189
    5. David de la O, Oscar Castillo, Abraham Meléndez
      Pages 191-208
    6. Leticia Cervantes, Oscar Castillo
      Pages 209-224
    7. Jonathan Pérez, Fevrier Valdez, Oscar Castillo
      Pages 225-237
    8. Juan Carlos Vazquez, Fevrier Valdez, Patricia Melin
      Pages 239-254

About this book

Introduction

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, 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 type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Keywords

Bio-inspired Models Computational Intelligence Designing Intelligent Systems Hybrid Approaches Intelligent Systems

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  • Witold Pedrycz
    • 3
  • Janusz Kacprzyk
    • 4
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  3. 3.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  4. 4.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05170-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05169-7
  • Online ISBN 978-3-319-05170-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book