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检索条件"主题词=entropy-based algorithms"
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Enhancing machine learning multi-class fault detection in electric motors through entropy-based analysis
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MEASUREMENT SCIENCE AND TECHNOLOGY 2025年 第1期36卷 016111-016111页
作者: Palaiologou, Ilias Falekas, Georgios Antonino-Daviu, Jose A. Karlis, Athanasios Democritus Univ Thrace Dept Elect & Comp Engn Xanthi 67133 Greece Univ Politecn Valencia Inst Tecnol Energia Valencia 46022 Spain
In the field of electric motor maintenance, this study introduces a transformative approach by integrating entropy-based algorithms with machine learning for enhanced multi-class fault detection. Employing Shannon, Re... 详细信息
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A COMPARATIVE STUDY OF FUZZY C-MEANS ALGORITHM AND entropy-based FUZZY CLUSTERING algorithms
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COMPUTING AND INFORMATICS 2011年 第4期30卷 701-720页
作者: Chattopadhyay, Subhagata Pratihar, Dilip Kumar De Sarkar, Sanjib Chandra Natl Inst Sci & Technol Dept Comp Sci & Engn Sch Comp Studies Berhampur 761008 Orissa India Indian Inst Technol Dept Mech Engn Kharagpur 721302 W Bengal India Indian Inst Technol Bhubaneswar Sch Elect Sci Bhubaneswar 751013 Orissa India
Fuzzy clustering is useful to mine complex and multi-dimensional data sets, where the members have partial or fuzzy relations. Among the various developed techniques, fuzzy-C-means (FCM) algorithm is the most popular ... 详细信息
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GDFEC Protocol for Heterogeneous Wireless Sensor Network  1
GDFEC Protocol for Heterogeneous Wireless Sensor Network
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1st International Conference on Computational Intelligence in Data Mining (ICCIDM)
作者: Kumar, S. Swapna Vishwas, S. Vidya Acad Sci & Technol Dept Elect & Commun Engn Trichur 680501 Kerala India KVG Coll Engn Dept Comp Sci & Engn Sullia Karnataka India
Wireless sensor networks (WSNs) in recent years shown abrupt growth in technological applications. The main research goals of WSN in the area of heterogeneity are to achieve various matrix performances such as high en... 详细信息
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