Modeling and optimization of V
Artificial neural network
NOx
Response surface methodology
SCR
V(2)O(5)/TiO(2)
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
15 May 2019
15 May 2019
Historique:
received:
07
04
2018
revised:
25
02
2019
accepted:
04
03
2019
pubmed:
12
3
2019
medline:
26
9
2019
entrez:
12
3
2019
Statut:
ppublish
Résumé
In the present study, two statistical methods including the response surface method (RSM) and artificial neural network (ANN), were employed for modeling and optimization of selective catalytic reduction of NOx with NH
Identifiants
pubmed: 30856596
pii: S0301-4797(19)30308-1
doi: 10.1016/j.jenvman.2019.03.018
pii:
doi:
Substances chimiques
Ammonia
7664-41-7
Titanium
D1JT611TNE
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
360-367Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.