A predictive model for the identification of the volume fraction in two-phase flow
This work presents the use of artificial intelligence in multiphase flows, implementing a multilayer perceptron artificial neural network with back-propagation, and using the sigmoid tangent activation function, to generate a predictive model capable of obtaining the holdup of a two-phase flow co...
मुख्य लेखकों: | Ruiz-Diaz, C M, Hernández-Cely, M. M, González-Estrada, O. A |
---|---|
स्वरूप: | Online |
भाषा: | spa |
प्रकाशित: |
Universidad Pedagógica y Tecnológica de Colombia
2021
|
विषय: | |
ऑनलाइन पहुंच: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13417 |
- समान संसाधन
-
Neural Model for the Prediction of Volume Losses in the Aging Process of Rums
द्वारा: García-Castellanos, Beatriz, और अन्य
प्रकाशित: (2020) -
Modeling of the friction factor in pressure pipes using Bayesian Learning Neural Networks
द्वारा: Ladino Moreno, Edgar Orlando, और अन्य
प्रकाशित: (2022) -
Determination of the Inside Diameter of Pressure Pipes for Drinking Water Systems Using Artificial Neural Networks
द्वारा: García-Ubaque, Cesar-Augusto, और अन्य
प्रकाशित: (2022) -
Fractographic classification in metallic materials by using 3D processing and computer vision techniques
द्वारा: Bastidas-Rodríguez, Maria Ximena, और अन्य
प्रकाशित: (2016) -
Fruit rrpeness identification with artificial neural networks - A review
द्वारा: Figueredo-Ávila, Gustavo Andrés, और अन्य
प्रकाशित: (2016)