Documents disponibles écrits par cet auteur

Liquid–liquid equilibrium calculation for ternary aqueous mixtures of ethanol and acetic acid with 2-ethyl-1-hexanol using the GMDH-type neural network / H. Ghanadzadeh in Industrial & engineering chemistry research, Vol. 50 N° 17 (Septembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 10158-10167 Titre : Liquid–liquid equilibrium calculation for ternary aqueous mixtures of ethanol and acetic acid with 2-ethyl-1-hexanol using the GMDH-type neural network Type de document : texte imprimé Auteurs : H. Ghanadzadeh, Auteur ; S. Fallahi, Auteur ; M. Ganji, Auteur Année de publication : 2011 Article en page(s) : pp. 10158-10167 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Neural  network  Phase  equilibrium  Liquid  liquid  equilibrium Résumé : A GMDH-type neural network was used to calculate liquid phase equilibrium data for the (water + ethanol or acetic acid + 2-ethyl-1-hexanol) ternary systems in the temperature range of 298.2-313.2 K. Using this method, a new model was proposed that is suitable for predicting the liquid—liquid equilibrium data. The proposed model was "trained" before the requested calculation. The data set was divided into two parts: 70% were used as data for "training" and 30% were used as a test set, which were randomly extracted from the database. After the training on the input—output process, the predicted values were compared with experimental values to evaluate the performance of the group method of data handling neural network method. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483659 [article] Liquid–liquid equilibrium calculation for ternary aqueous mixtures of ethanol and acetic acid with 2-ethyl-1-hexanol using the GMDH-type neural network [texte imprimé] / H. Ghanadzadeh, Auteur ; S. Fallahi, Auteur ; M. Ganji, Auteur . - 2011 . - pp. 10158-10167. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 10158-10167 Mots-clés : Neural  network  Phase  equilibrium  Liquid  liquid  equilibrium Résumé : A GMDH-type neural network was used to calculate liquid phase equilibrium data for the (water + ethanol or acetic acid + 2-ethyl-1-hexanol) ternary systems in the temperature range of 298.2-313.2 K. Using this method, a new model was proposed that is suitable for predicting the liquid—liquid equilibrium data. The proposed model was "trained" before the requested calculation. The data set was divided into two parts: 70% were used as data for "training" and 30% were used as a test set, which were randomly extracted from the database. After the training on the input—output process, the predicted values were compared with experimental values to evaluate the performance of the group method of data handling neural network method. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483659