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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ladino Moreno, Edgar Orlando, García Ubaque, Cesar Augusto, García-Vaca, María Camila
Aineistotyyppi:	Online
Kieli:	spa
Julkaistu:	Universidad Pedagógica y Tecnológica de Colombia 2022
Aiheet:	Coeficiente fricción, Colebrook-White, Regularización Bayesiana, Red Neuronal Artificial Artificial Neural Network, Bayesian Regularization, Coefficient of friction, Colebrook & White
Linkit:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13241