首页|Nanjing Hydraulic Research Institute Researchers Release New Data on Machine Learning (Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology)
Nanjing Hydraulic Research Institute Researchers Release New Data on Machine Learning (Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology)
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 – Investigators publish new report on artificial intelligence. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Model parametersestimation is a pivotal issue for runoff modeling in ungauged catchments. The nonlinear relationshipbetween model parameters and catchment descriptors is a major obstacle for parameter regionalization,which is the most widely used approach.”
Nanjing Hydraulic Research InstituteNanjingPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning