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Hybrid intelligent systems in contro...

Castillo, Oscar.

Hybrid intelligent systems in control, pattern recognition and medicine

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid intelligent systems in control, pattern recognition and medicineedited by Oscar Castillo, Patricia Melin.
其他作者:	Castillo, Oscar.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	ix, 362 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
電子資源:	https://doi.org/10.1007/978-3-030-34135-0
ISBN:	9783030341350$q(electronic bk.)

Hybrid intelligent systems in control, pattern recognition and medicine
Hybrid intelligent systems in control, pattern recognition and medicine[electronic resource] /edited by Oscar Castillo, Patricia Melin. - Cham :Springer International Publishing :2020. - ix, 362 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8271860-949X ;. - Studies in computational intelligence ;v. 216..

Part I: Type-1 and Type-2 Fuzzy Logic -- Intuitionistic and Neutrosophic Fuzzy Logic: Basic Concepts and Applications -- Study of the Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Prolems -- Adaptation of Parameters with Binary Cat Swarm Optimization Algorithm of Controller for a Mobile Autonomous Robot -- Comparison of Fuzzy Controller Optimization with Dynamic Parameter Adjustment based on of Type-1 and Type-2 Fuzzy Logic -- Part II: Pattern Recognition -- Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognition -- Optimal recognition model based on convolutional neural networks and fuzzy gravitational search algorithm method.

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

ISBN: 9783030341350$q(electronic bk.)

Standard No.: 10.1007/978-3-030-34135-0doiSubjects--Topical Terms:

181981
Fuzzy logic.

LC Class. No.: QA9.64 / .H937 2020

Dewey Class. No.: 511.313

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520 $a This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.
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