Training strategies of Multilayer Perceptron network for study in three-phase flow
Resumo
This report presents a methodology based on nuclear techniques combined with artificial neural network (ANN) that have been used in order to predict fluid volume fractions (FVFs) using data obtained from gamma-ray radiation detectors. This research proposes investigations and comparisons of training strategies based on dual-modality principles using two NaI(Tl) detectors.
Downloads
Publicado
2021-08-12
Como Citar
Marques Salgado, C., Dam, R. S. de F., & Luna Salgado, W. (2021). Training strategies of Multilayer Perceptron network for study in three-phase flow. Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/431
Edição
Seção
Application of Nuclear Techniques in Industry
Licença
Copyright (c) 2021 César Marques Salgado, Roos Sophia de Freitas Dam, Otero
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.