Hybrid intelligent systems in control, pattern recognition and medicine / Oscar Castillo, Patricia Melin, editors.
Castillo, Oscar, 1959-; Melin, Patricia, 1962-
2020
QA9.64
Available Online

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Title Hybrid intelligent systems in control, pattern recognition and medicine / Oscar Castillo, Patricia Melin, editors.
ISBN 9783030341350 (electronic book)
3030341356 (electronic book)
9783030341343
3030341348
Published Cham : Springer, 2020.
Language English
Description 1 online resource (ix, 362 pages)
Item Number 10.1007/978-3-030-34
Call Number QA9.64
Dewey Decimal Classification 511.3/13
006.3
Summary 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.
Access Note Access limited to authorized users.
Added Author Castillo, Oscar, 1959-
Melin, Patricia, 1962-
Series Studies in computational intelligence ; v. 827.
Available in Other Form Print version: 9783030341343
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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