Recent Advances of Hybrid Intelligent Systems Based on Soft Computing, 1st ed. 2021 Studies in Computational Intelligence Series, Vol. 915

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.

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