Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Lieferzeit: Lieferbar innerhalb 14 Tagen

171,19 

Studies in Computational Intelligence 1096

ISBN: 3031289986
ISBN 13: 9783031289989
Herausgeber: Oscar Castillo/Patricia Melin
Verlag: Springer Verlag GmbH
Umfang: xii, 498 S., 64 s/w Illustr., 187 farbige Illustr., 498 p. 251 illus., 187 illus. in color.
Erscheinungsdatum: 13.06.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, 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 a group of 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 also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

Artikelnummer: 8749658 Kategorie:

Beschreibung

In this book, recent theoretical developments on fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are considered in application areas such as intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction, and optimization of complex problems. Nowadays, the main topics of the book are highly relevant, as most current intelligent systems and hardware implementations in use utilize some form of intelligent feature to enhance their performance. In addition, theoretically speaking, new and advanced models, and algorithms of type-2 fuzzy logic are presented, which will be of great interest to researchers in these areas. Also, novel nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript that are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

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E-Mail: juergen.hartmann@springer.com

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