首页|Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (A Novel Strategy for Automatic Selection of Cross-basin Data To Improve Local Machine Learning-based Runoff Models)
Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (A Novel Strategy for Automatic Selection of Cross-basin Data To Improve Local Machine Learning-based Runoff Models)
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 – A new study on Machine Learning is now available. According to news reporting out of Beijing, People’s Republic of Chi na, by NewsRx editors, research stated, “Previous studies have shown that region al deep learning (DL) models can improve runoff prediction by leveraging large h ydrological datasets. However, training a DL regional model using all data witho ut screening may degrade local performance.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences