Multilayer Perceptron and General Regression Neural Networks for a study in three-phase flow
Resumo
This report presents a methodology for volume fraction (VF) predictions in water-gas-oil multiphase systems based on gamma-ray densitometry and artificial neural networks (ANNs). The simulated geometry uses a dual-energy gamma-ray source and dual-modality (transmitted and scattered beams).
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Publicado
2021-08-12
Como Citar
Marques Salgado, C., Dam, R. S. de F. ., & Salgado, W. L. (2021). Multilayer Perceptron and General Regression Neural Networks for a study in three-phase flow. Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/430
Edição
Seção
Application of Nuclear Techniques in Industry
Licença
Copyright (c) 2021 César Marques Salgado, Ross Sophia de Freitas Dam, William Luna Salgado
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.