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
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Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.