Recent Advances of Hybrid Intelligent Systems Based on Soft Computing (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 915
Release date:	November 2020
First published:	2021
Editors:	Patricia Melin • Oscar Castillo • Janusz Kacprzyk
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	341
Edition:	1st ed. 2021
ISBN-13:	978-3-03-058727-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-058727-4
Barcode:	9783030587277

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