Training strategies of Multilayer Perceptron network for study in three-phase flow
Abstract
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.
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Published
2021-08-12
How to Cite
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). Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/431
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Section
ANTI
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Copyright (c) 2021 César Marques Salgado, Roos Sophia de Freitas Dam, Otero
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.