Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods

Accurate determination of sulfur solubility in pure hydrogen sulfide (H2S) and sour gas mixtures has a leading role and a fundamental importance in handling and addressing sulfur deposition issues. In this study, rigorous paradigms based on two artificial neural network (ANN) types, namely multilaye...

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Bibliographic Details

Published in:	International journal of hydrogen energy Vol. 45; no. 58; pp. 33274 - 33287
Main Author:	Nait Amar, Menad
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 27-11-2020
Subjects:	Cascaded forward neural network (CFNN) Gene expression programming (GEP) Multilayer perceptron (MLP) Natural gas Sour gases Sulfur solubility Sour gases Sulfur solubility Multilayer perceptron (MLP) Gene expression programming (GEP) Natural gas Cascaded forward neural network (CFNN)
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