气候变化领域集成服务门户(CCPortal): Hybrid deep learning method for a week-ahead evapotranspiration forecasting

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	Hybrid deep learning method for a week-ahead evapotranspiration forecasting
	Ahmed, A. A. Masrur 1; Deo, Ravinesh C.1; Feng, Qi2,3 ; Ghahramani, Afshin 4; Raj, Nawin 1; Yin, Zhenliang 2,3; Yang, Linshan 2,3
发表日期	2021
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/239855
作者单位	1.School of Sciences, University of Southern Queensland, Springfield; QLD; 4300, Australia 2.Key Laboratory of Ecohydrology of Inland River Basin, Chinese Academy of Sciences, Beijing, China 3.Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Rd 320, LanzhouGansu Province, 730000, China 4.Centre for Sustainable Agricultural Systems, University of Southern Queensland, Springfield; QLD; 4500, Australia
推荐引用方式 GB/T 7714	Ahmed, A. A. Masrur,Deo, Ravinesh C.,Feng, Qi,et al. Hybrid deep learning method for a week-ahead evapotranspiration forecasting[J]. 中国科学院西北生态环境资源研究院,2021.
APA	Ahmed, A. A. Masrur.,Deo, Ravinesh C..,Feng, Qi.,Ghahramani, Afshin.,Raj, Nawin.,...&Yang, Linshan.(2021).Hybrid deep learning method for a week-ahead evapotranspiration forecasting.Stochastic Environmental Research and Risk Assessment.
MLA	Ahmed, A. A. Masrur,et al."Hybrid deep learning method for a week-ahead evapotranspiration forecasting".Stochastic Environmental Research and Risk Assessment (2021).