Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01103-7.pdf
Reference39 articles.
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2. Allawi MF, El-Shafie A (2016) Utilizing RBF-NN and ANFIS methods for multi-lead ahead prediction model of evapotranspiration from reservoir. Water Resour Manag 30:4773–4788. https://doi.org/10.1007/s11269-016-1452-1
3. Allawi MF, Binti Othman F, Afan HA, Ahmed AN, Hossain MS, Fai CM, El-Shafie A (2019) Reservoir evapotranspiration prediction modeling based on artificial intelligence methods. Water-Sui 11(6):1226. https://doi.org/10.3390/w11061226
4. Allawi MF, Ahmed ML, Aidan IA, Deo RC, El-Shafie A (2021) Developing reservoir evapotranspiration predictive model for successful dam management. Stoch Env Res Risk A 35:499–514
5. Alzubaidi L, Zhang J, Humaidi AJ, Al-Dujaili A, Duan Y, Al-Shamma O, Farhan L (2021) Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions. J Big Data 8:1–74. https://doi.org/10.1186/s40537-021-00444-8
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