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-机器学习的新研究是一篇报道的主题。据新闻报道研究称，NewsRx记者源于中华人民共和国北京的报道，“根据观测到的气象要素、光解速率（j值）和污染物浓度，”通过机器学习(J-ML)开发了一个自动j值预测系统，以再现并预测了OD、NO、HONO、HO、HCHO和NO的j值，这些j值是该系统的关键值大气氧化能力(AOC)及二次污染物浓度的预测臭氧（O），第二类有机气溶胶(SOA)。J-ML可以自行选择最佳的“模型+Hyperp”没有人的干扰的Arameters‘s without human interference"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Based on observe d meteorological elements, photolysis rates (J-values) and pollutant concentrati ons,an automated J-values predicting system by machine learning (J-ML) has been developed to reproduceand predict the J-values of OD, NO, HONO, HO, HCHO, and NO, which are the crucial values for theprediction of the atmospheric oxidation capacity (AOC) and secondary pollutant concentrations such asozone (O), second ary organic aerosols (SOA). The J-ML can self-select the optimal ‘Model + Hyperparameters’ without human interference.”
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