Searched for: subject%3A%22random%255C%252Bforest%22
(1 - 1 of 1)
document
Montes, Carlos (author), Kapelan, Z. (author), Saldarriaga, Juan (author)
Sediment transport in sewers has been extensively studied in the past. This paper aims to propose a new method for predicting the self-cleansing velocity required to avoid permanent deposition of material in sewer pipes. The new Random Forest (RF) based model was implemented using experimental data collected from the literature. The accuracy...
journal article 2021