Robotics & Machine Learning Daily News2024,Issue(Sep.6) :114-115.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :114-115.

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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Abstract

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.”

Key words

Fuzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Fuzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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