首页|Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (Development of an automated photolysis rates prediction system based on machine learning)
Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (Development of an automated photolysis rates prediction system based on machine learning)
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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.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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