Description: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms : Theory and Applications, Paperback by Castillo, Oscar (EDT); Melin, Patricia (EDT); Kacprzyk, Janusz (EDT), ISBN 3030354474, ISBN-13 9783030354473, Like New Used, Free shipping in the US 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. Th 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, th appeals to a wide audience.
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Book Title: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and
Number of Pages: Xiv, 792 Pages
Publication Name: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Engineering (General), Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 42.9 Oz
Author: Patricia Melin
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Trade Paperback
