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ANN modeling applied to NOX reduction with octane. Ann future in personal vehicles.

Authors :
Ribeiro, Bernardete
Albrecht, Rudolf F.
Dobnikar, Andrej
Pearson, David W.
Steele, Nigel C.
Rönnholm, Mats
Arve, Kalle
Eränen, Kari
Klingstedt, Fredrik
Salmi, Tapio
Saxén, Henrik
Source :
Adaptive & Natural Computing Algorithms; 2005, p100-103, 4p
Publication Year :
2005

Abstract

A silver/alumina catalyst was tested for its NOX reduction activity during oxygen-rich conditions and during variation in the input parameters (nitric oxide, octane and oxygen). A multi-bed approach was tested where the initial bed was divided into four beds acting in different temperature rages. The experimental data were investigated by means of artificial neural networks that were demonstrated to be able to model the process. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642049200
Database :
Complementary Index
Journal :
Adaptive & Natural Computing Algorithms
Publication Type :
Book
Accession number :
26196271
Full Text :
https://doi.org/10.1007/3-211-27389-1•24