首页|Reports Outline Machine Learning Study Findings from Fudan University (Cloud Cla ssification By Machine Learning for Geostationary Radiation Imager)
Reports Outline Machine Learning Study Findings from Fudan University (Cloud Cla ssification By Machine Learning for Geostationary Radiation Imager)
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 DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Shanghai, People’s Repub lic of China, by NewsRx correspondents, research stated, “Toenhance the accurac y of cloud classification, this study proposes cloud classification models based onmachine learning algorithms. The models take as input the observed reflectan ce or brightness temperatureof 12 channels of the Advanced Geostationary Radiat ion Imager (AGRI) on Fengyun-4A satellite andmultichannel clear sky brightness temperature.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningFudan University
NETL
NSTL
