A new approach for estimation of PVT properties of pure gases based on artificial neural network model
Author:
Affiliation:
1. Arak University, Iran
Publisher
FapUNIFESP (SciELO)
Subject
General Chemical Engineering
Link
http://www.scielo.br/pdf/bjce/v26n1/v26n1a19.pdf
Reference22 articles.
1. Isobaric vapor-liquid equilibrium calculations of binary systems using a neural network;Biglin M.;J. Serb. Chem. Soc.,2004
2. Characterization of basic properties for pure properties for pure substances and petroleum fractions by neural network;Bozorgmehry R. B.;Fluid phase equilibria,2005
3. Neural Networks for Chemical Engineers;Bulsari A. B.,1995
4. Modeling of thermodynamic properties using neural networks application to refrigerants;Chouai A.;Fluid Phase Equilibr.,2002
5. PVT and phase behavior of petroleum reservoir fluids;Danesh A.,1998
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