Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine eBook

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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.

This is a digital product.

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine is written by Oscar Castillo and published by Springer. The Digital and eTextbook ISBNs for Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine are 9783030341350, 3030341356 and the print ISBNs are 9783030341343, 3030341348.