Comparison of Two Bayesian-MCMC Inversion Methods for Laboratory Infiltration and Field Irrigation Experiments.

Guo, Qinghua; Dai, Fuchu; Zhao, Zhiqiang

Guo, Qinghua; Dai, Fuchu; Zhao, Zhiqiang.

Afiliação

Guo Q; Institute of Geotechnical Engineer, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
Dai F; Institute of Geotechnical Engineer, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
Zhao Z; Institute of Geotechnical Engineer, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.

Int J Environ Res Public Health ; 17(3)2020 02 10.

Article em En | MEDLINE | ID: mdl-32050535

Assuntos

Redes Neurais de Computação; Solo; Teorema de Bayes; Distribuição Normal; Análise de Componente Principal

Palavras-chave

Bayesian inversion; field irrigation experiment; infiltration simulation; laboratory infiltration experiment; undisturbed loess

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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