Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

  • Patricia Melin
  • Oscar Castillo
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 601)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Olivia Mendoza, Oscar Castillo
      Pages 3-11
    3. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
      Pages 13-25
    4. Elid Rubio, Oscar Castillo
      Pages 47-57
    5. Gabriela E. Martínez, Patricia Melin, Olivia D. Mendoza, Oscar Castillo
      Pages 59-70
  3. Neural Networks Theory

    1. Front Matter
      Pages 71-71
    2. Andrés Espinal, Martín Carpio, Manuel Ornelas, Héctor Puga, Patricia Melín, Marco Sotelo-Figueroa
      Pages 89-101
    3. Mario I. Chacon-Murguia, Juan A. Ramirez-Quintana
      Pages 103-117
    4. Luis Carlos Padierna, Martín Carpio, Rosario Baltazar, Héctor José Puga, Héctor Joaquín Fraire
      Pages 127-137
  4. Neural Networks Applications

  5. Nature Inspired Optimization

    1. Front Matter
      Pages 197-197

About this book

Introduction

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Keywords

Computational Intelligence Intelligent Systems based on Fuzzy Logic Nature-inspired Optimization Neural Networks Pattern Recognition

Editors and affiliations

  • Patricia Melin
    • 1
  • Oscar Castillo
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  3. 3.Polish Academy of SciencesSystems Research InstituteWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17747-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-17746-5
  • Online ISBN 978-3-319-17747-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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