首页|Zhengzhou University Details Findings in Machine Learning (Research On Urban Sto rm Flood Simulation By Coupling K-means Machine Learning Algorithm and Gis Spati al Analysis Technology Into Swmm Model)

Zhengzhou University Details Findings in Machine Learning (Research On Urban Sto rm Flood Simulation By Coupling K-means Machine Learning Algorithm and Gis Spati al Analysis Technology Into Swmm Model)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on Machine Learning are discuss ed in a new report. According to news reporting originating in Zhengzhou, People 's Republic of China, by NewsRx journalists, research stated, "Accurate flood si mulation has significant practical implications for urban flood management. The focus of this study is to develop a new flood model (K-SWMMG) based on the Storm Water Management Model (SWMM), which innovatively couples the K-means clusterin g machine learning algorithm and GIS spatial analysis techniques." Financial support for this research came from National Key Research and Developm ent Program of China.

ZhengzhouPeople's Republic of ChinaA siaAlgorithmsCyborgsEmerging TechnologiesMachine LearningTechnologyZ hengzhou University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)