气候变化领域集成服务门户(CCPortal): Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China

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	Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China
	Yu, Haijiao 1,2; Wen, Xiaohu 1; Feng, Qi1 ; Deo, Ravinesh C.3; Si, Jianhua 1; Wu, Min 1,2
发表日期	2018
卷号	v 32 期号:n 1 页码:p 301-323
语种	英语
来源期刊	Water Resources Management
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/239894
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; 730000, China 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.School of Agricultural, Computational and Environmental Sciences, Institute of Agriculture and Environment (IAg&E), University of Southern Queensland, Springfield; QLD; 4300, Australia
推荐引用方式 GB/T 7714	Yu, Haijiao,Wen, Xiaohu,Feng, Qi,et al. Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China[J]. 中国科学院西北生态环境资源研究院,2018,v 32(n 1):p 301-323.
APA	Yu, Haijiao,Wen, Xiaohu,Feng, Qi,Deo, Ravinesh C.,Si, Jianhua,&Wu, Min.(2018).Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China.Water Resources Management,v 32(n 1),p 301-323.
MLA	Yu, Haijiao,et al."Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China".Water Resources Management v 32.n 1(2018):p 301-323.