Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation-Reference-Cited by-同舟云学术

Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation

Published:2024-01-25 Issue:5 Volume:38 Page:1803-1830
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Ehteram Mohammad,Barzegari Banadkooki Fatemeh,Afshari Nia Mahdie

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02657-0.pdf

Reference48 articles.

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2. Adnan RM, Mostafa RR, Dai HL, Heddam S, Kuriqi A, Kisi O (2023) Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data. Eng Appl Comput Fluid Mech. https://doi.org/10.1080/19942060.2023.2192258

3. Ahi Y, Coşkun Dilcan Ç, Köksal DD, Gültaş HT (2023) Reservoir evaporation forecasting based on climate change scenarios using artificial neural network model. Water Resour Manag. https://doi.org/10.1007/s11269-022-03365-0

4. Al Sudani ZA, Salem GSA (2022) Evaporation rate prediction using advanced machine learning models: a comparative study. Adv Meteorol. https://doi.org/10.1155/2022/1433835

5. Allawi MF, Binti Othman F, Afan HA, Ahmed AN, Hossain MS, Fai CM, El-Shafie A (2019) Reservoir evaporation prediction modeling based on artificial intelligence methods. Water 11(6):1226

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