Recent Advances on Hybrid Intelligent Systems

  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 451)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Hybrid Intelligent Systems for Control and Robotics

  3. Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction

    1. Front Matter
      Pages 105-105
    2. Emmanuel Morales-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Vicente Alarcón-Aquino
      Pages 135-146
    3. Felicitas Perez-Ornelas, Olivia Mendoza, Patricia Melin, Juan R. Castro
      Pages 147-157
    4. Manuel Leobardo Zavala-Arriaza, Fevrier Valdez, Patricia Melin
      Pages 211-219

About this book


This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of 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 groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. 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.



Bio-inspired Models Computational Intelligence Hybrid Intelligent Systems Mobile Robotics Pattern Recognition Soft Computing for Control Time Series Prediction

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Chula VistaUSA
  2. 2.Chula VistaUSA
  3. 3.Systems Research InstitutePolish Academy of SciencesWarszawaPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-33020-9
  • Online ISBN 978-3-642-33021-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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