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)

Robotics & Machine Learning Daily News2024，Issue(Oct.11) ：65-65.

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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)

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Abstract

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.

Key words

School of Earth Sciences and Engineering/Beijing/People’s Republic of China/Asia/Machine Learning/Support Vector Ma chines

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出版年

2024

Robotics & Machine Learning Daily News

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