Robotics & Machine Learning Daily News2024,Issue(MAY.2) :64-65.

Researchers’ Work from Nanchang University Focuses on Machine Learning (Insulati on Strength Prediction of Transmission Linetower Gaps Using Interelectrode Elec tric Field Feature Set and Ensemble Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :64-65.

Researchers’ Work from Nanchang University Focuses on Machine Learning (Insulati on Strength Prediction of Transmission Linetower Gaps Using Interelectrode Elec tric Field Feature Set and Ensemble Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Nancha ng, People’s Republic of China, by NewsRx journalists, researchstated, “The sel ection of air gap clearance is of vital importance for the insulation coordinati on designof overhead transmission lines, which relies on the determination of a ir gap insulation strength. Thisarticle aims to realize discharge voltage predi ction of transmission line-tower air gaps by electric field (EF)simulation and machine learning algorithms.”

Key words

Nanchang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Nanchang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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