| Titre : | Determination of parachor of various compounds using an artificial neural network-group contribution method (2011) |
| Auteurs : | Farhad Gharagheizi, Auteur ; Ali Eslamimanesh, Auteur ; Amir H. Mohammadi, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 50 N° 9, Mai 2011) |
| Article en page(s) : | pp. 5815-5823 |
| Note générale : | Chimie industrielle |
| Langues : | Anglais |
| Tags : | Group contribution method Neural network |
| Résumé : | In this communication, an Artificial Neural Network―Group Contribution algorithm is applied to represent/predict the parachor of pure chemical compounds. To propose a reliable and predictive tool, 227 pure chemical compounds are investigated. Using the developed method, we obtain satisfactory results that are quantified by the following statistical parameters: absolute average deviations of the represented/predicted parachor values from existing experimental ones, %AAD = 1.2%; and squared correlation coefficient, R2 = 0.997. |
| DEWEY : | 660 |
| ISSN : | 0888-5885 |
| En ligne : | http://cat.inist.fr/?aModele=afficheN&cpsidt=24128707 |
