Robotics & Machine Learning Daily News2024,Issue(Dec.20) :50-51.

Data from China University of Mining and Technology Provide New Insights into Ma chine Learning (Evaluation of Parametric Effects of Coal Flotation Based On Boos ting Modeling Method)

Robotics & Machine Learning Daily News2024,Issue(Dec.20) :50-51.

Data from China University of Mining and Technology Provide New Insights into Ma chine Learning (Evaluation of Parametric Effects of Coal Flotation Based On Boos ting Modeling Method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discuss ed in a new report. According to news reportingfrom Xuzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Accurate assessmentof the eff ects of parameters on the flotation process is important for understanding the c omplex flotationmechanisms. To address the problem of unsatisfactory prediction of large sample flotation data (641 sets)by traditional machine learning algor ithms, four advanced algorithms (GBDT, CatBoost, LightBGM andXGBoost) are used in this paper to investigate the effects of feed properties and flotation condit ions onthe effectiveness of coal flotation.”

Key words

Xuzhou/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/China University of Mining and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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