摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道由NewsRx记者发源于中华人民共和国北京，研究称：“添加剂浓度对润滑剂的摩擦学性能有显著影响。实现优化在加性浓度下,提出了一种极梯度Boosting机器学习方法通过磨损量来预测润滑油的摩擦学性能，并利用从磨损量中收集到的数据来预测润滑油的摩擦学性能四球摩擦实验》。
Abstract
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.”
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