Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00848-x.pdf
Reference64 articles.
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2. Alyamani MS, Şen Z (1993) Determination of hydraulic conductivity from complete grain-size distribution curves. Groundwater 31:551–555. https://doi.org/10.1111/j.1745-6584.1993.tb00587.x
3. Andalib G, Nourani V (2019) Application of wavelet denoising and artificial intelligence models for stream flow forecasting. Adv Res Civ Eng 1:1–8. https://doi.org/10.30469/ARCE.2019.82733
4. Ankeny MD, Ahmed M, Kaspar TC, Horton R (1991) Simple field method for determining unsaturated hydraulic conductivity. Soil Sci Soc Am J 55:467–470. https://doi.org/10.2136/sssaj1991.03615995005500020028x
5. Boadu FK (2000) Hydraulic conductivity of soils from grain-size distribution: new models. J Geotech Geoenviron Eng 126:739–746. https://doi.org/10.1061/(asce)1090-0241(2000)126:8(739)
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