首页|New Findings in Machine Learning Described from Ningbo University (Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches)
New Findings in Machine Learning Described from Ningbo University (Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches)
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 – Current study results on artificial in telligence have been published. According tonews originating from Ningbo, Peopl e’s Republic of China, by NewsRx editors, the research stated,“Rainfall-derived inflow/infiltration (RDII) modelling during heavy rainfall events is essential for sewerflow management.”Financial supporters for this research include National Key R&D Pro gram of China; Key ResearchAnd Development Program of Zhejiang Province; Ningbo Young Technology Innovation Leading TalentProgram.
Ningbo UniversityNingboPeople’s Repu blic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning