首页|Reports from Fuzhou University Describe Recent Advances in Machine Learning (Enh ancing Arc Fault Diagnosis Method Using Feature Selection Strategy Based On Feat ure Clustering and Maximal Information Coefficient)
Reports from Fuzhou University Describe Recent Advances in Machine Learning (Enh ancing Arc Fault Diagnosis Method Using Feature Selection Strategy Based On Feat ure Clustering and Maximal Information Coefficient)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in Machine Learning. According to news reporting originatingfrom Fuzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “The accuracyof machine learning-based arc fault diagnosis methods relies on the quality of the selected features. First,an experimental system is constructed for collecting realistic arc fault current signals, and different multidomainfeature extraction method s are described.”
FuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFuzhou University
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