Springer Cham, 2022. — (Studies in Computational Intelligence, volume 1050). — 483 p. — ISBN: 978-3-031-08266-5.
In this book, recent developments in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to 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 techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which consist of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. Some papers offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describes diverse applications of fuzzy logic, neural networks, and hybrid intelligent systems in medical problems. Some papers present the theory and practice of neural networks in different areas of application. In addition, some papers present the 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 and classification problems.
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