Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Reference61 articles.
1. Abdullah, S. S., Malek, M. A., Abdullah, N. S., Kisi, O., & Yap, K. S. (2015). Extreme Learning Machines: A new approach for prediction of reference evapotranspiration. Journal of Hydrology, 527, 184.
2. Abed, M., Imteaz, M. A., Ahmed, A. N., & Huang, Y. F. (2022). Modelling monthly pan evaporation utilising random forest and deep learning algorithms. Scientific Reports, 12(1), 13132. https://doi.org/10.1038/s41598-022-17263-3
3. Adnan, R., Jaafari, A., Mohanavelu, A., Kisi, O., & Elbeltagi, A. (2021). Novel ensemble forecasting of streamflow using locally weighted learning algorithm. Sustainability. https://doi.org/10.3390/su13115877
4. Ahmadianfar, I., Jamei, M., & Chu, X. (2020). A novel hybrid wavelet-locally weighted linear regression (W-LWLR) model for electrical conductivity (EC) prediction in surface water. Journal of Contaminant Hydrology, 232, 103641. https://doi.org/10.1016/j.jconhyd.2020.103641
5. Allen, R., Pereira, L., Raes, D., & Smith, M. (1998). FAO Irrigation and drainage paper No. 56. Rome: Food and Agriculture Organization of the United Nations, 56, 26–40.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献