期刊
MEASUREMENT
卷 100, 期 -, 页码 122-130出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2016.12.055
关键词
Regime identification; Volume fraction determination; Multi-layer perceptron; Gamma ray; Multiphase flow; Multi beam technique
Artificial neural network (ANN) is a good technique used to handle problems of modeling, prediction, control, and classification. In this study, four accurate and precise MLP model were developed. The first one was used in order to determine the type of three phase flow regime. All of the regimes were recognized correctly. Then, according to determined regime, three independent MLP models were used in order to predict the volume fraction percentages of gas, oil and water. The networks were developed based on the validated simulated data from MCNPX code. The volume fractions were measured with Mean Relative Error (MRE) of less than 1.63%. (C) 2016 Elsevier Ltd. All rights reserved.
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