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Titlebook: New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization; Patricia Melin,Oscar Castillo Book 2

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發(fā)表于 2025-3-21 17:59:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization
編輯Patricia Melin,Oscar Castillo
視頻videohttp://file.papertrans.cn/666/665153/665153.mp4
概述Presents new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms.Includes applications in control and robotics, pattern recognition, medical diagnosi
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization;  Patricia Melin,Oscar Castillo Book 2
描述.This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also some papers that presenttheory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.
出版日期Book 2024
關(guān)鍵詞Computational Intelligence; Fuzzy Logic; Neural Networks; Evolutionary Computing; Metaheuristics; Hybrid
版次1
doihttps://doi.org/10.1007/978-3-031-53713-4
isbn_softcover978-3-031-53715-8
isbn_ebook978-3-031-53713-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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An Application of Controlled Sets in Medical Diagnosiso its application across various domains in daily life, including political science, robotic systems, economic research, and medical studies. The effectiveness of IFS in decision-making within these domains has been well-established. With the introduction of controlled sets, authors delved deeper in
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α-Interval Valued Fuzzy Sets and α-Interval Valued Fuzzy Subgroupstics are researched. The definition of order relation and negation function on these sets are given. α-interval valued fuzzy sets that the degree of membership is sub-closed interval of unit interval including α, are given. The basis algebraic features are viewed. The connection between classical se
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Radial Basis Function Neural Network for Time Series Prediction: The Case of Yen Currencyr of neurons and the number of hidden layers and the integration of network responses carried out by Type-1 and Type-2 Fuzy System and are of Mamdani type (FIS), The tests are carried out with Yen/Dollar and Yen/Mexican exchange rates. This demonstrated that the model is successful, as it gives good
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Hypervolume Indicator as?an?Estimator for?Adaptive Operator Selection in?an?On-Line Multi-objective ven solution state, the most promising operator from a pool to continue a search process. In multi-objective optimization problems, more than one objective function has to be optimized simultaneously. Many multi-objective optimization problems commonly represent complex real-world problems. Despite
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