Modeling of the friction factor in pressure pipes using Bayesian Learning Neural Networks

The model proposed by Colebrook-White for calculating the coefficient of friction has been universally accepted by establishing an implicit transcendental function. This equation determines the friction coefficient for fully developed flows, that is, for turbulent flows with a Reynolds Number hig...

詳細記述

書誌詳細

主要な著者:	Ladino Moreno, Edgar Orlando, García Ubaque, Cesar Augusto, García-Vaca, María Camila
フォーマット:	Online
言語:	spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2022
主題:	Coeficiente fricción, Colebrook-White, Regularización Bayesiana, Red Neuronal Artificial Artificial Neural Network, Bayesian Regularization, Coefficient of friction, Colebrook & White
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13241