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Application of artificial neural networks for estimation of the reaction rate in methanol dehydration / Peyvand Valeh-e-Sheyda in Industrial & engineering chemistry research, Vol. 49 N° 10 (Mai 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 10 (Mai 2010) . - pp. 4620–4626 Titre : Application of artificial neural networks for estimation of the reaction rate in methanol dehydration Type de document : texte imprimé Auteurs : Peyvand Valeh-e-Sheyda, Auteur ; Farhooman, Fereydoon, Auteur ; Gholamreza Moradi, Auteur Année de publication : 2010 Article en page(s) : pp. 4620–4626 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Artificial  neural  networks  Methanol Résumé : In this paper, the artificial neural network has been applied to estimate the reaction rate of methanol dehydration in dimethyl ether synthesis. The multilayer feed forward neural network with three inputs and one output has been trained with different algorithms and different numbers of neurons in the hidden layer. Two thirds of all training data are used for training of the network and the rest are used for testing of the generalization of the network. The accuracy of the proposed model was found to agree well with the experimental results over a wide range of experimental conditions. The results clearly depict that the neural network is a powerful tool to estimate the reaction rate and the designed neural network can be used instead of approximate and complex analytical equations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9020705 [article] Application of artificial neural networks for estimation of the reaction rate in methanol dehydration [texte imprimé] / Peyvand Valeh-e-Sheyda, Auteur ; Farhooman, Fereydoon, Auteur ; Gholamreza Moradi, Auteur . - 2010 . - pp. 4620–4626. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 10 (Mai 2010) . - pp. 4620–4626 Mots-clés : Artificial  neural  networks  Methanol Résumé : In this paper, the artificial neural network has been applied to estimate the reaction rate of methanol dehydration in dimethyl ether synthesis. The multilayer feed forward neural network with three inputs and one output has been trained with different algorithms and different numbers of neurons in the hidden layer. Two thirds of all training data are used for training of the network and the rest are used for testing of the generalization of the network. The accuracy of the proposed model was found to agree well with the experimental results over a wide range of experimental conditions. The results clearly depict that the neural network is a powerful tool to estimate the reaction rate and the designed neural network can be used instead of approximate and complex analytical equations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9020705