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  • © 2023

Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Editors:

  1. Oscar Castillo

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

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    You can also search for this editor in PubMed   Google Scholar

  2. Patricia Melin

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on fuzzy logic, neural networks, optimization algorithms, and their hybrid combinations
  • Includes contributions on theoretical aspects as well as applications
  • Provides new and advanced models and algorithms of type-2 fuzzy logic as well

Part of the book series: Studies in Computational Intelligence (SCI, volume 1096)

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-xii
    PDF

  2. Neural Networks

    1. Front Matter

      Pages 1-1
      PDF

    3. Approximation of Physicochemical Properties Based on a Message Passing Neural Network Approach

      • Leonardo Velazquez-Ruiz, Graciela Ramirez-Alonso, Fernando Gaxiola, Javier Camarillo-Cisneros, Daniel Espinobarro, Alain Manzo-Martinez
      Pages 15-26

    4. Convolutional Neural Networks for Multiclass Classification of Masks

      • Alexis Campos, Patricia Melin, Daniela Sánchez
      Pages 27-41

    5. Quanvolutional Neural Network Applied to MNIST

      • Daniel Alejandro Lopez, Oscar Montiel, Miguel Lopez-Montiel, Moisés Sánchez-Adame, Oscar Castillo
      Pages 43-67

    6. Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks

      • Cesar Torres, Claudia I. Gonzalez, Gabriela E. Martinez
      Pages 69-95

  3. Optimization

    1. Front Matter

      Pages 97-97
      PDF

    2. Fuzzy Dynamic Adaptation of an Artificial Fish Swarm Algorithm for the Optimization of Benchmark Functions

      • Leticia Amador-Angulo, Patricia Ochoa, Cinthia Peraza, Oscar Castillo
      Pages 99-114

    3. Particle Swarm Optimization Algorithm with Improved Opposition-Based Learning (IOBL-PSO) to Solve Continuous Problems

      • Miguel Á. García-Morales, Héctor J. Fraire-Huacuja, José A. Brambila-Hernández, Juan Frausto-Solís, Laura Cruz-Reyes, Claudia G. Gómez-Santillán et al.
      Pages 115-126

    4. Study on the Effect of Chaotic Maps in the Formation of New Universes in the Multiverse Optimizer Algorithm

      • Lucio Amézquita, Oscar Castillo, José Soria, Prometeo Cortes-Antonio
      Pages 127-138

    5. Performance Comparative of Surrogate Models as Fitness Functions for Metaheuristic Algorithms

      • David Bolaños-Rojas, Jorge A. Soria-Alcaraz, Andrés Espinal, Marco A. Sotelo-Figueroa
      Pages 139-145

    6. A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm

      • Hector Carreon-Ortiz, Fevrier Valdez, Oscar Castillo
      Pages 147-164

    7. Optimal Tuning of an Active Disturbance Rejection Controller Using a Particle Swarm Optimization Algorithm

      • Olga L. Jiménez Morales, Diego Tristán Rodríguez, Rubén Garrido, Efrén Mezura-Montes
      Pages 165-186

  4. Fuzzy Logic

    1. Front Matter

      Pages 187-187
      PDF

    2. Optimization of Fuzzy Controllers Using Distributed Bioinspired Methods with Random Parameters

      • Alejandra Mancilla, Oscar Castillo, Mario García-Valdez
      Pages 189-197

    3. Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset

      • José Fernando Padrón-Tristán, Laura Cruz-Reyes, Rafael A. Espin-Andrade, Claudia Guadalupe Gómez Santillán, Carlos Eric Llorente-Peralta
      Pages 199-226

    5. Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: Some Case Studies

      • Carlos Eric Llorente-Peralta, Laura Cruz-Reyes, Rafael Alejandro Espín-Andrade, José Fernando Padron-Tristan
      Pages 237-252
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About this book

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.
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Keywords

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Editors and Affiliations

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

    Oscar Castillo, Patricia Melin

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Bibliographic Information

  • Book Title: Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

  • Editors: Oscar Castillo, Patricia Melin

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-28999-6

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-28998-9Published: 13 June 2023

  • Softcover ISBN: 978-3-031-29001-5Due: 14 July 2023

  • eBook ISBN: 978-3-031-28999-6Published: 12 June 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 498

  • Number of Illustrations: 64 b/w illustrations, 187 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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Buy it now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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