Training strategies of Multilayer Perceptron network for study in three-phase flow

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César Marques Salgado
Roos Sophia de Freitas Dam
William Luna Salgado

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.

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Seção
Application of Nuclear Techniques in Industry