Estimation of monthly evaporation values using gradient boosting machines and mode decomposition techniques in the Southeast Anatolia Project (GAP) area in Turkey-Reference-Cited by-同舟云学术

Estimation of monthly evaporation values using gradient boosting machines and mode decomposition techniques in the Southeast Anatolia Project (GAP) area in Turkey

Published:2023-03-13 Issue: Volume: Page:
ISSN:1895-7455
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Sarıgöl Metin^ORCID,Katipoğlu Okan Mert^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s11600-023-01067-8.pdf

Reference36 articles.

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3. Antonopoulos VZ, Antonopoulos AV (2017) Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Comput Electron Agric 132:86–96. https://doi.org/10.1016/j.compag.2016.11.011

4. Asante-Okyere S, Shen C, Ziggah YY, Rulegeya MM, Zhu X (2020) A novel hybrid technique of integrating gradient-boosted machine and clustering algorithms for lithology classification. Nat Resour Res 29(4):2257–2273. https://doi.org/10.1007/s11053-019-09576-4

5. Başakın EE, Ekmekcioğlu Ö, Özger M (2021) Drought prediction using hybrid soft-computing methods for semi-arid region. Model Earth Syst Environ 7(4):2363–2371. https://doi.org/10.1007/s40808-020-01010-6

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