首页|Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Researc hers Add New Data to Research in Machine Learning (Modeling the Influence of Pre cipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learnin g ...)
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Researc hers Add New Data to Research in Machine Learning (Modeling the Influence of Pre cipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learnin g ...)
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 artificial intelligenc e is the subject of a new report. According to news reporting out of Guangzhou, People's Republic of China, by NewsRx editors, research stated, "A new forward m odel (FM) was developed to characterize the influence of precipitation on L-band passive ocean surface measurements. The FM, which relates rain-induced brightne ss temperature (TB) variations to the rain rate and wind speed (WS), was establi shed through a machine learning approach (referred to as the ML-FM)." Financial supporters for this research include National Natural Science Foundati on of China; Zhejiang Provincial Natural Science Foundation of China; Pioneer R& amp,D Program of Zhejiang.
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)GuangzhouPeople's Republic of ChinaAsiaC yborgsEmerging TechnologiesMachine Learning
NETL
NSTL
