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Comparative Study of Hybrid-Wavelet Artificial Intelligence Models for Monthly Groundwater Depth Forecasting in Extreme Arid Regions, Northwest China

Crossref DOI link: https://doi.org/10.1007/s11269-017-1811-6

Published Online: 2017-09-23

Published Print: 2018-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yu, Haijiao

Wen, Xiaohu

Feng, Qi

Deo, Ravinesh C.

Si, Jianhua

Wu, Min
Funding

Funding for this research was provided by:

National Natural Sciences Foundation of China (31370466)

USQ Academic Division Research Activation Incentive Scheme (RAIS, July–September 2015)
License Information

License valid from 2017-09-23