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Cited article:

Prédiction de l'enthalpie et de l'entropie de vaporisation normale par la méthode de contribution de groupes avec interactions des hydrocarbures purs, mélanges simples et fractions pétrolières

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The Canadian Journal of Chemical Engineering 94 (1) 175 (2016)
https://doi.org/10.1002/cjce.22343

New group contribution method for the prediction of normal melting points

A. A. Pérez Ponce, I. Salfate, G. Pulgar-Villarroel, L. Palma-Chilla and J. A. Lazzús
Journal of Engineering Thermophysics 22 (3) 226 (2013)
https://doi.org/10.1134/S1810232813030065

A neural network approach to predict activity coefficients

Nazario D. Ramírez‐Beltrán, Harry Rodríguez Vallés, L. Antonio Estévez and Horacio Duarte
The Canadian Journal of Chemical Engineering 87 (5) 748 (2009)
https://doi.org/10.1002/cjce.20212

On the Introduction of a Qualitative Variable to the Neural Network for Reactor Modeling: Feed Type

Maryam Ghadrdan, Hamid Mehdizadeh, Ramin Bozorgmehry Boozarjomehry and Jafar Towfighi Darian
Industrial & Engineering Chemistry Research 48 (8) 3820 (2009)
https://doi.org/10.1021/ie800794n

Hybrid Method to Predict Melting Points of Organic Compounds Using Group Contribution + Neural Network + Particle Swarm Algorithm

Juan A. Lazzús
Industrial & Engineering Chemistry Research 48 (18) 8760 (2009)
https://doi.org/10.1021/ie900431f

Developing Correlations for Prediction of Petroleum Fraction Properties using Genetic Algorithms

F. Souahi and H. Kaabeche
Oil & Gas Science and Technology - Revue de l'IFP 63 (2) 229 (2008)
https://doi.org/10.2516/ogst:2007087