Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity
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Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1007/s13201-019-1007-8.pdf
Reference38 articles.
1. Agyare WA, Park SJ, Vlek PLG (2007) Artificial neural network estimation of saturated hydraulic conductivity. Vadose Zone J 6(2):423–431
2. Al-Sulaiman M, Aboukarima A (2016) Prediction of unsaturated hydraulic conductivity of agricultural soils using artificial neural network and c#. J Agric Ecol Res Int 5(4):1–15. https://doi.org/10.9734/jaeri/2016/21622
3. Angelaki A, Singh Nain S, Singh V, Sihag P (2018) Estimation of models for cumulative infiltration of soil using machine learning methods. ISH J Hydraul Eng. https://doi.org/10.1080/09715010.2018.1531274 .
4. Arshad RR, Sayyad G, Mosaddeghi M, Gharabaghi B (2013) Predicting saturated hydraulic conductivity by artificial intelligence and regression models. ISRN Soil Sci. https://doi.org/10.1155/2013/308159
5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
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