Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications PDF Download

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications PDF
By:Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Published on 2020-02-27 by Springer Nature

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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.

This Book was ranked at 6 by Google Books for keyword medical computer application algorithm.

Book ID of Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications's Books is 9mTTDwAAQBAJ, Book which was written byOscar Castillo,Patricia Melin,Janusz Kacprzykhave ETAG "M+DJ23smQf0"

Book which was published by Springer Nature since 2020-02-27 have ISBNs, ISBN 13 Code is 9783030354459 and ISBN 10 Code is 3030354458

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Book which have "792 Pages" is Printed at BOOK under CategoryTechnology and Engineering

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