Chinese Academy of Sciences Reports Findings in Machine Learning (Predictions of the Optical Properties of Brown Carbon Aerosol by Machine Learning with Typical Chromophores)
Chinese Academy of Sciences Reports Findings in Machine Learning (Predictions of the Optical Properties of Brown Carbon Aerosol by Machine Learning with Typical Chromophores)
中国科学院发表机器学习研究成果褐碳气溶胶光学性质的预测(用光学方法)典型生色团的机器学习
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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。据新闻报道来自中国人民共和国西安的研究报告，由NewsRx记者报道，“The Research”称，“The People of Republic of China's Republic,by NewsRx”记者报道，“The Research”称，“The Research”来自中国西安，由NewsRx记者报道。Br-C光学性质和化学组成之间的联系还没有得到充分的理解。定量的发色团解释了小于25%的环境Aer Osol光吸收.本研究对西安地区大气溶胶中38种典型发色团进行了表征，并对其光吸收贡献在365 nm处，至BrC的范围为1.6±0.3至5.8±2.6%。
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 newsoriginating from Xi’an, People’s Republ ic of China, by NewsRx correspondents, research stated, “Thelinkages between Br C optical properties and chemical composition remain inadequately understood, with quantified chromophores explaining less than 25% of ambient aer osol light absorption. This studycharacterized 38 typical chromophores in aeros ols collected in Xi’an, with light absorption contributionsto BrC ranging from 1.6 ± 0.3 to 5.8 ± 2.6% at 365 nm.”
Key words
Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning
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