Source: Vadose Zone Journal. Unidade: CENA
Assunto: CONDUTIVIDADE HIDRÁULICA DO SOLO
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MEHMANDOOST, Ali e LIER, Quirijn de Jong van e IVERSEN, Bo V. Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near-saturated hydraulic conductivity. Vadose Zone Journal, v. 18, n. 1, 2019Tradução . . Disponível em: https://doi.org/10.2136/vzj2018.07.0141. Acesso em: 06 out. 2024.APA
Mehmandoost, A., Lier, Q. de J. van, & Iversen, B. V. (2019). Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near-saturated hydraulic conductivity. Vadose Zone Journal, 18( 1). doi:10.2136/vzj2018.07.0141NLM
Mehmandoost A, Lier Q de J van, Iversen BV. Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near-saturated hydraulic conductivity [Internet]. Vadose Zone Journal. 2019 ; 18( 1):[citado 2024 out. 06 ] Available from: https://doi.org/10.2136/vzj2018.07.0141Vancouver
Mehmandoost A, Lier Q de J van, Iversen BV. Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near-saturated hydraulic conductivity [Internet]. Vadose Zone Journal. 2019 ; 18( 1):[citado 2024 out. 06 ] Available from: https://doi.org/10.2136/vzj2018.07.0141