首页|Reports from Tsinghua University Highlight Recent Findings in Machine Learning ( Effective Tribological Performance-oriented Concentration Optimization of Lubric ant Additives Based On a Machine Learning Approach)
Reports from Tsinghua University Highlight Recent Findings in Machine Learning ( Effective Tribological Performance-oriented Concentration Optimization of Lubric ant Additives Based On a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Thetribological performance of lubricant is significantly affected by additive concentration. To realize optimizationof additive concentrations, an eXtreme Gradient Boosting m achine learning method was proposedto predict the tribological performance of a lubricant, reflected by wear volume, with data collected fromfour-ball frictio n experiments.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesLubricantsMachine LearningTsinghua Univer sity
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