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Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Yin, Zhenliang1; Feng, Qi1; Wen, Xiaohu1; Deo, Ravinesh C.1,2; Yang, Linshan1; Si, Jianhua1; He, Zhibin1
发表日期2018
卷号v 32期号:n 9页码:p 2457-2476
语种英语
来源期刊Stochastic Environmental Research and Risk Assessment
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/239908
作者单位1.Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou; Gansu; 730000, China
2.School of Agricultural Computational and Environmental Sciences, Institute of Agriculture and Environment (IAg&E), University of Southern Queensland, Springfield, Australia
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GB/T 7714
Yin, Zhenliang,Feng, Qi,Wen, Xiaohu,et al. Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment[J]. 中国科学院西北生态环境资源研究院,2018,v 32(n 9):p 2457-2476.
APA Yin, Zhenliang.,Feng, Qi.,Wen, Xiaohu.,Deo, Ravinesh C..,Yang, Linshan.,...&He, Zhibin.(2018).Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment.Stochastic Environmental Research and Risk Assessment,v 32(n 9),p 2457-2476.
MLA Yin, Zhenliang,et al."Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment".Stochastic Environmental Research and Risk Assessment v 32.n 9(2018):p 2457-2476.
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