首页|Shandong University of Technology Reports Findings in Machine Learning (Predicti on for the recycle of phosphate tailings in enhanced gravity field based on mach ine learning and interpretable analysis)
Shandong University of Technology Reports Findings in Machine Learning (Predicti on for the recycle of phosphate tailings in enhanced gravity field based on mach ine learning and interpretable analysis)
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New research on Machine Learning is th e subject of a report. According to news reporting originating in Zibo, People's Republic of China, by NewsRx journalists, research stated, "Recleaning phosphat e tailings using the low-cost enhanced gravity separation method is beneficial f or maximizing the recovery of phosphorus element. A machine learning framework w as constructed to predict the target variables of the yield, grade, and recovery from the feature variables of slurry concentration, backwash water pressure, an d rotational frequency of bowl, whose data came from the phosphate tailings sepa ration experiments in the enhanced gravity field." The news reporters obtained a quote from the research from the Shandong Universi ty of Technology, "The coefficient of determination R and mean squared error wer e used to evaluate the performance of seven machine learning models. After hyper -parameter optimization, GBR demonstrated the best performance in predicting yie ld, grade, and recovery, with prediction accuracy of 95.58 %, 90.72 %, and 94.25 %, respectively. SHapley Additive exPlan ations interpretability analysis revealed that the rotational frequency of the b owl had the most significant impact on the grade and recovery of concentrates, w hile slurry concentration had the most significant effect on the yield. A lower rotational frequency of the bowl, a higher slurry concentration, and an increase d backwash water pressure were positively correlated with both the yield and rec overy. However, the grade was favorably correlated with a higher rotational freq uency of bowl and a lower slurry concentration, whereas its correlation with the backwash water pressure could be positive or adverse, depending on its specific value."
ZiboPeople's Republic of ChinaAsiaAnionsCyborgsEmerging TechnologiesMachine LearningPhosphatesPhosphoric Acids
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