Assessment of infiltration models developed using soft computing techniques

In this study, predicting ability of support vector machines (SVM), Gaussian process (GP), artificial neural network (ANN), and Random forests (RF) based regression approaches was tested on the infiltration data of soil samples having different compositions of sand, silt, clay, and fly ash. In addit...

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Autores principales: Parveen Sihag, Munish Kumar, Balraj Singh
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/9eae689a5e1c49bb956bd87e72c55468
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