首页|Qingdao University of Technology Reports Findings in Machine Learning (Conceptua lizing future groundwater models through a ternary framework of multisource data , human expertise, and machine intelligence)
Qingdao University of Technology Reports Findings in Machine Learning (Conceptua lizing future groundwater models through a ternary framework of multisource data , human expertise, and machine intelligence)
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 Machine Learning is th e subject of a report. According to news originating from Qingdao, People’s Repu blic of China, by NewsRx correspondents, research stated, “Groundwater models ar e essential for understanding aquifer systems behavior and effective water resou rces spatio-temporal distributions, yet they are often hindered by challenges re lated to model assumptions, parametrization, uncertainty, and computational effi ciency. Machine intelligence, especially deep learning, promises a paradigm shif t in overcoming these challenges.”
QingdaoPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine IntelligenceMachine Learning
NETL
NSTL
