This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.
Oscar Castillo & Janusz Kacprzyk
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications [EPUB ebook]
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications [EPUB ebook]
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato EPUB ● ISBN 9783030354459 ● Editor Oscar Castillo & Janusz Kacprzyk ● Editorial Springer International Publishing ● Publicado 2020 ● Descargable 3 veces ● Divisa EUR ● ID 8147968 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM