Overview
- Describes the most recent advances on fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization
- Presents new and advanced models and algorithms of type-2 fuzzy systems, which is of great interest to researchers in these areas
- Puts forward new fuzzy augmentation of nature-inspired optimization algorithms and innovative and improved neural models
- Includes contributions on theoretical aspects as well as applications
Part of the book series: Studies in Computational Intelligence (SCI, volume 915)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book describes recent advances 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 are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes 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.
Similar content being viewed by others
Keywords
Table of contents (18 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
Editors: Patricia Melin, Oscar Castillo, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-58728-4
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: 978-3-030-58727-7Published: 07 November 2020
Softcover ISBN: 978-3-030-58730-7Published: 07 November 2021
eBook ISBN: 978-3-030-58728-4Published: 06 November 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 341
Number of Illustrations: 50 b/w illustrations, 153 illustrations in colour