Predicting Evapotranspiration Using Support Vector Machine Model and Hybrid Gamma Test
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9733-4_14
Reference31 articles.
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2. Aghelpour, P., & Norooz-Valashedi, R. (2022). Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models. Stochastic Environmental Research and Risk Assessment, 1–23.
3. Alizamir, M., Kisi, O., Muhammad Adnan, R., & Kuriqi, A. (2020). Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies. Acta Geophysica, 68(4), 1113–1126.
4. Antonopoulos, V. Z., Papamichail, D. M., Aschonitis, V. G., & Antonopoulos, A. V. (2019). Solar radiation estimation methods using ANN and empirical models. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2019.03.022
5. Citakoglu, H., Cobaner, M., Haktanir, T., & Kisi, O. (2014). Estimation of monthly mean reference evapotranspiration in Turkey. Water Resources Management, 28(1), 99–113.
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