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...
Main Authors: | Ladino Moreno, Edgar Orlando, García Ubaque, Cesar Augusto, García-Vaca, María Camila |
---|---|
פורמט: | Online |
שפה: | spa |
יצא לאור: |
Universidad Pedagógica y Tecnológica de Colombia
2022
|
נושאים: | |
גישה מקוונת: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13241 |
- פריטים דומים
-
Determination of the Inside Diameter of Pressure Pipes for Drinking Water Systems Using Artificial Neural Networks
מאת: García-Ubaque, Cesar-Augusto, et al.
יצא לאור: (2022) -
A predictive model for the identification of the volume fraction in two-phase flow
מאת: Ruiz-Diaz, C M, et al.
יצא לאור: (2021) -
Neural network study for the subject demand forecasting
מאת: Terán-Villanueva, Jesús David, et al.
יצא לאור: (2019) -
Neural Model for the Prediction of Volume Losses in the Aging Process of Rums
מאת: García-Castellanos, Beatriz, et al.
יצא לאור: (2020) -
Inventory model using bayesian dynamic linear model for demand forecasting
מאת: Valencia-Cárdenas, Marisol, et al.
יצא לאור: (2014)