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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

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  • © 2021

Overview

  • Describes recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations
  • This book contains a collection of papers focused on hybrid intelligent systems based on soft computing
  • Includes various applications in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems

Part of the book series: Studies in Computational Intelligence (SCI, volume 940)

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Table of contents (21 chapters)

Keywords

About this book



We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some 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 some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.  




Editors and Affiliations

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

    Oscar Castillo, Patricia Melin

Bibliographic Information

  • Book Title: Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

  • Editors: Oscar Castillo, Patricia Melin

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-68776-2

  • 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 2021

  • Hardcover ISBN: 978-3-030-68775-5Published: 25 March 2021

  • Softcover ISBN: 978-3-030-68778-6Published: 29 March 2022

  • eBook ISBN: 978-3-030-68776-2Published: 24 March 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 383

  • Number of Illustrations: 58 b/w illustrations, 117 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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