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

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...

Bibliografski detalji
Glavni autori:	Ladino Moreno, Edgar Orlando, García Ubaque, Cesar Augusto, García-Vaca, María Camila
Format:	Online
Jezik:	spa
Izdano:	Universidad Pedagógica y Tecnológica de Colombia 2022
Teme:	Coeficiente fricción, Colebrook-White, Regularización Bayesiana, Red Neuronal Artificial Artificial Neural Network, Bayesian Regularization, Coefficient of friction, Colebrook & White
Online pristup:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13241

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