Urban Rainfall Forecasting Method Based on Multi-model Prediction Information Fusion

被引:0
|
作者
Huang, Liu [1 ]
Liu, Xuejun [2 ]
Wei, Heyi [3 ]
机构
[1] China Southern Airline Hubei Branch, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Sch Urban Design, Wuhan, Hubei, Peoples R China
[3] Jiangxi Normal Univ, Coll City Construct, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
rainfall prediction; SVR model; RBF model; multi-model combination; urban rainfall;
D O I
10.1109/icim49319.2020.244700
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In order to improve the accuracy of rainfall forecasting in Wuhan, this paper proposes a multi-model information fusion forecasting method based on SVR model and RBI; model. The rainfall data of Wuhan during 1980-2016 were used to verify the practicability of the multi -model information fusion method. The research results show that compared with the single forecast model, the multi-model information fusion forecasting method can improve the forecasting accuracy, and it can be used for rainfall forecasting to provide data support for urban management departments.
引用
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页码:210 / 214
页数:5
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