首页|Study Data from School of Earth Sciences and Engineering Update Understanding of Support Vector Machines (Analysis of Short-Term Heavy Rainfall-Based Urban Floo d Disaster Risk Assessment Using Integrated Learning Approach)
Study Data from School of Earth Sciences and Engineering Update Understanding of Support Vector Machines (Analysis of Short-Term Heavy Rainfall-Based Urban Floo d Disaster Risk Assessment Using Integrated Learning Approach)
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 support vector machine s is the subject of a new report. According to news reporting originating from B eijing, People’s Republic of China, by NewsRx correspondents, research stated, “ Accurate and timely risk assessment of short-term rainstorm-type flood disasters is very important for ecological environment protection and sustainable socio-e conomic development.” Funders for this research include Science And Technology Innovation Program For Postgraduate Students in Idp Subsidized By Fundamental Research Funds For The Ce ntral Universities.
School of Earth Sciences and EngineeringBeijingPeople’s Republic of ChinaAsiaMachine LearningSupport Vector Ma chines
NETL
NSTL
