Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 749)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Type-2 Fuzzy Logic in Metaheuristics

  3. Neural Networks Theory and Applications

    1. Front Matter
      Pages 67-67
    2. Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Juan Ramón Castro
      Pages 69-80
    3. Jorge A. Cerecedo-Cordoba, Juan Javier González Barbosa, J. David Terán-Villanueva, Juan Frausto-Solís
      Pages 81-88
    4. Karen Fabiola Mares, Rosario Baltazar, Miguel Ángel Casillas, Víctor Zamudio, Lenin Lemus
      Pages 89-98
    5. Olga Quiroz-Ramírez, Andrés Espinal, Manuel Ornelas-Rodríguez, Alfonso Rojas-Domínguez, Daniela Sánchez, Héctor Puga-Soberanes et al.
      Pages 99-112
  4. Metaheuristics: Theory and Applications

    1. Front Matter
      Pages 113-113
    2. Adán Godínez-Bautista, Luis Carlos Padierna, Alfonso Rojas-Domínguez, Héctor Puga, Martín Carpio
      Pages 115-130
    3. Anylu Melo-Vega, Juan Frausto-Solís, Guadalupe Castilla-Valdez, Ernesto Liñán-García, Juan Javier González-Barbosa, David Terán-Villanueva
      Pages 141-152
    4. Juan de Anda-Suárez, Martín Carpio, Solai Jeyakumar, Héctor José Puga-Soberanes, Juan F. Mosiño, Laura Cruz-Reyes
      Pages 153-167
    5. M. A. Sotelo-Figueroa, Arturo Hernández-Aguirre, Andrés Espinal, J. A. Soria-Alcaraz, Janet Ortiz-López
      Pages 169-177
  5. Fuzzy Control

    1. Front Matter
      Pages 179-179

About this book

Introduction

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.

Keywords

Type-2 Fuzzy Logic in Metaheuristics Neural Networks Metaheuristics Fuzzy Control Fuzzy Logic Optimization and Evolutionary Algorithms Hybrid Intelligent Systems

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate Studies and Research Tijuana Institute of Technology TijuanaMexico
  3. 3.Systems Research InstitutePolish Academy of Sciences WarszawaPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71008-2
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-71007-5
  • Online ISBN 978-3-319-71008-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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