QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods
This work aimed to predict the normal boiling point temperature (Tb) and relative liquid
density (d20) of petroleum fractions and pure hydrocarbons, through a multi-layer …
density (d20) of petroleum fractions and pure hydrocarbons, through a multi-layer …
Prediction of the rejection of organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes using neural networks
Y Ammi, L Khaouane, S Hanini - Korean Journal of Chemical Engineering, 2015 - Springer
This work investigates the use of neural networks in modeling the rejection processes of
organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes …
organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes …
[引用][C] Modélisation d'un paramètre pertinent des phénomènes de transport lié à la pollution atmosphérique et/ou la pollution des rejets industriels.
T HASSNAOUI, S BENMOUSSA, L KHAOUANE - 2020
[引用][C] Développement des modèles de type RQSPRNA pour la prédiction des propriétés critiques des hydrocarbures.
R KHOUAS, F ZIANE, L KHAOUANE - 2020
[引用][C] CONTRIBUTION A LA MODELISATION DE LA SOLUBILITE DES SOLUTES SOLIDES DANS LES FLUIDES SUPERCRITIQUES
A BELGHAIT, C SI-MOUSSA - 2019