首页|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)
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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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.”
XuzhouPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChina University of Mining and Technology
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