Bienvenue au Centre de Documentation et d'Information de 2iE: Plus de 27422 ouvrages vous sont proposés
Résultat de la recherche
1 recherche sur le mot-clé 'Réseau neuronal; Givre; Convection libre; Cylindre horizontal'
trié(s) par (Pertinence décroissant(e), Date de mise à jour croissant(e)) Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Prediction of frost deposition on a horizontal circular cylinder under natural convection using artificial neural networks in Revue internationale du froid, vol 34, issue 2 (mars 2011)
[article]
Titre : Prediction of frost deposition on a horizontal circular cylinder under natural convection using artificial neural networks Titre original : Prévision de la déposition de givre sur un cylindre horizontal sous convection naturelle à l'aide de réseaux neuronaux Type de document : texte imprimé Année de publication : 2012 Article en page(s) : pp. 560-566 Langues : Anglais (eng) Français (fre) Catégories : 621.5 : Technique pneumatique, du vide, des basses températures Mots-clés : Réseau neuronal; Givre; Convection libre; Cylindre horizontal Index. décimale : 621.56 Technique des basses températures : réfrigération, pompe à chaleur Résumé : In the present work Artificial Neural Network is used to predict frost thickness and density around a cooled horizontal circular cylinder having constant surface temperature under natural convection for different ambient conditions. The database for ANN generated from the experimental measurements. In the present work a multilayer perceptron network is used and it is found that the back-propagation algorithm with Levenberg–Marquardt learning rule is the best choice to estimate frost growth due to accurate and faster training procedure. Experimental measurements are used for training and testing the ANN approach and comparison is performed among the soft programming ANN and experimental measurements. It is observed that ANN soft programming code can be used more efficiently to determine frost thickness and density around a cold horizontal cylinder. Based on the developed ANN wide range of frost formation over various cylinder diameters are determined and presented for various conditions.
in Revue internationale du froid > vol 34, issue 2 (mars 2011) . - pp. 560-566[article] Prediction of frost deposition on a horizontal circular cylinder under natural convection using artificial neural networks = Prévision de la déposition de givre sur un cylindre horizontal sous convection naturelle à l'aide de réseaux neuronaux [texte imprimé] . - 2012 . - pp. 560-566.
Langues : Anglais (eng) Français (fre)
in Revue internationale du froid > vol 34, issue 2 (mars 2011) . - pp. 560-566
Catégories : 621.5 : Technique pneumatique, du vide, des basses températures Mots-clés : Réseau neuronal; Givre; Convection libre; Cylindre horizontal Index. décimale : 621.56 Technique des basses températures : réfrigération, pompe à chaleur Résumé : In the present work Artificial Neural Network is used to predict frost thickness and density around a cooled horizontal circular cylinder having constant surface temperature under natural convection for different ambient conditions. The database for ANN generated from the experimental measurements. In the present work a multilayer perceptron network is used and it is found that the back-propagation algorithm with Levenberg–Marquardt learning rule is the best choice to estimate frost growth due to accurate and faster training procedure. Experimental measurements are used for training and testing the ANN approach and comparison is performed among the soft programming ANN and experimental measurements. It is observed that ANN soft programming code can be used more efficiently to determine frost thickness and density around a cold horizontal cylinder. Based on the developed ANN wide range of frost formation over various cylinder diameters are determined and presented for various conditions.