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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. 2021 ed.

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. 2021 ed.

・ISBN 978-3-030-58727-7 hard EUR 179.99

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お気に入り
著者・編者Melin, Patricia / Castillo, Oscar / Kacprzyk, Janusz (eds.),
シリーズ (Studies in Computational Intelligence)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2020
ページ数341 pp.
言語ENG
ニュース番号<A02-75414>

解説

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.