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

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  • © 2015

Overview

Editors:
  1. Patricia Melin

    1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

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  2. Oscar Castillo

    1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

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  3. Janusz Kacprzyk

    1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

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  • Presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application
  • Includes applications in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems
  • This carefully edited book is organized in eight main parts
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (47 chapters)

  1. Front Matter

    Pages i-xii
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  2. Fuzzy Logic Theory

    1. Front Matter

      Pages 1-1
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    2. Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems

      • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Olivia Mendoza, Oscar Castillo
      Pages 3-11

    3. Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets

      • Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
      Pages 13-25

    4. Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange

      • Jesus Soto, Patricia Melin
      Pages 27-45

    5. A New Proposal for a Granular Fuzzy C-Means Algorithm

      • Elid Rubio, Oscar Castillo
      Pages 47-57

    6. Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks

      • Gabriela E. Martínez, Patricia Melin, Olivia D. Mendoza, Oscar Castillo
      Pages 59-70

  3. Neural Networks Theory

    1. Front Matter

      Pages 71-71
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    2. Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series

      • Fernando Gaxiola, Patricia Melin, Fevrier Valdez
      Pages 73-87

    3. Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks

      • Andrés Espinal, Martín Carpio, Manuel Ornelas, Héctor Puga, Patricia Melín, Marco Sotelo-Figueroa
      Pages 89-101

    4. Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis

      • Mario I. Chacon-Murguia, Juan A. Ramirez-Quintana
      Pages 103-117

    5. Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO

      • Jonathan Amezcua, Patricia Melin
      Pages 119-126

    6. Evolution of Kernels for Support Vector Machine Classification on Large Datasets

      • Luis Carlos Padierna, Martín Carpio, Rosario Baltazar, Héctor José Puga, Héctor Joaquín Fraire
      Pages 127-137

  4. Neural Networks Applications

    1. Front Matter

      Pages 139-139
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    2. Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration

      • Daniela Sánchez, Patricia Melin
      Pages 141-154

    3. An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures

      • Alfonso Uriarte, Patricia Melin, Fevrier Valdez
      Pages 155-162

    4. Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures

      • Fausto Rodríguez-Ruelas, Patricia Melin, German Prado-Arechiga
      Pages 163-169

    5. Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction

      • Martha Pulido, Patricia Melin
      Pages 171-184

    6. A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Series

      • Victor M. Torres, Oscar Castillo
      Pages 185-195

  5. Nature Inspired Optimization

    1. Front Matter

      Pages 197-197
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Keywords

About this book

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.

Editors and Affiliations

  • Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin, Oscar Castillo

  • Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

Bibliographic Information

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

  • Editors: Patricia Melin, Oscar Castillo, Janusz Kacprzyk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-17747-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-17746-5Published: 25 June 2015

  • Softcover ISBN: 978-3-319-36961-7Published: 15 October 2016

  • eBook ISBN: 978-3-319-17747-2Published: 12 June 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 637

  • Number of Illustrations: 81 b/w illustrations, 226 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Optimization, Control, Robotics, Mechatronics

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