University of South China Reports Findings in Machine Learning (Comparative stud y of five machine learning algorithms on prediction of the height of the water-c onducting fractured zone in undersea mining)

Robotics & Machine Learning Daily News2024，Issue(Sep.24) ：70-71.

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University of South China Reports Findings in Machine Learning (Comparative stud y of five machine learning algorithms on prediction of the height of the water-c onducting fractured zone in undersea mining)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting from Hunan, People’s Republic of China, by NewsRx journalists, research stated, “Prediction of water-conducting fracture d zone (WCFZ) of mine overburden is the premise for reducing or eliminating wate r inrush hazards in undersea mining. To obtain a more robust and precise predict ion of WCFZ in undersea mining, a WCFZ prediction dataset with 122 cases of frac tured zones was constructed.”

Key words

Hunan/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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