Comparative Study of Predicting the Molecular Diffusion Coefficient for Polar and Non-polar Binary Gas Using Neural Networks and Multiple Linear Regressions

Comparative Study of Predicting the Molecular Diffusion Coefficient for Polar and Non-polar Binary Gas Using Neural Networks and Multiple Linear Regressions

In the current study, an artificial neural network (ANN) and multiple linear regressions (MLR) have been used to develop predictive models for the estimation of molecular diffusion coefficients of 1252 polar and non-polar binary gases at multiple pressures over a wide range of temperatures and subst...

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Bibliographic Details
Main Authors: Naima Melzi, Latifa Khaouane, Yamina Ammi, Salah Hanini, Maamar Laidi, Hamid Zentou
Format: Article
Language:English
Published: Croatian Society of Chemical Engineers 2019-11-01
Series:Kemija u Industriji
Subjects:
prediction
molecular diffusion
neural networks
multiple linear regressions
Online Access:http://silverstripe.fkit.hr/kui/assets/Uploads/1-573-582.pdf

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http://silverstripe.fkit.hr/kui/assets/Uploads/1-573-582.pdf

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