| 书目名称 | Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and | | 编辑 | Oscar Castillo,Patricia Melin,Janusz Kacprzyk | | 视频video | | | 概述 | Describes recent advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid combinations.Presents applications in areas such as intelligent control and robotics, pa | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2020 | | 关键词 | Computational Intelligence; Fuzzy logic; Neural networks; Intelligent Control; Intelligent Systems | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-35445-9 | | isbn_softcover | 978-3-030-35447-3 | | isbn_ebook | 978-3-030-35445-9Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:25:29
