首页|Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (3DVar sectoral emission inversion based on source apportionment and machine lea rning)
Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (3DVar sectoral emission inversion based on source apportionment and machine lea rning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news reporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Air quality models are increasingly important in air pollution forecasting and control.Sec toral emissions significantly impact the accuracy of air quality models and sour ce apportionment.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
