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

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Adaptive and Natural Computing Algorithms

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.

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References

  1. Eränen, K., Klingstedt, F., Arve, K., Murzin, D. Yu., (2004). On the mechanism of the selective catalytic reduction of NO with higher hydrocarbons over a silver/alumina catalyst. Journal of Catalysis 227: 328–343.

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  4. Rönnholm, M., Klingstedt, F., Eränen, K., Lindfors, L-E. (2003). Artificial neural network modelling applied on NOX reduction with octane in excess oxygen over Ag/Al2O3. Reaction Kinetics and Catalysis Letters, Vol. 78, No 2, 331–340.

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Author information

Authors and Affiliations

  1. Laboratory of Industrial Chemistry, Process Chemistry Centre, Åbo Akademi University, FIN-20500, Åbo/Turku, Finland

    Mats Rönnholm, Kalle Arve, Kari Eränen, Fredrik Klingstedt & Tapio Salmi

  2. Heat Engineering Laboratory, Åbo Akademi University, FIN-20500, Åbo/Turku, Finland

    Henrik Saxén

Authors
  1. Mats Rönnholm
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  2. Kalle Arve
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  3. Kari Eränen
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  4. Fredrik Klingstedt
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  5. Tapio Salmi
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  6. Henrik Saxén
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Bernardete Ribeiro

  2. Institut für Informatik, Universität Innsbruck, Innsbruck, Austria

    Rudolf F. Albrecht

  3. Fakulteta za Računalništvo in Informatiko, Univerza v Ljubljani, Ljubljana, Slovenia

    Andrej Dobnikar

  4. Equipe Universitaire de Recherche en Informatique de Saint-Etienne (Groupe de Recherche de Roanne) Institut Universitaire de Technologie de Roanne, Université Jean Monnet, Saint-Etienne, France

    David W. Pearson

  5. Division of Mathematics School of Mathematical and Information Sciences, Coventry University, Coventry, UK

    Nigel C. Steele

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© 2005 Springer-Verlag/Wien

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Cite this paper

Rönnholm, M., Arve, K., Eränen, K., Klingstedt, F., Salmi, T., Saxén, H. (2005). ANN modeling applied to NOX reduction with octane. Ann future in personal vehicles. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_24

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  • DOI: https://doi.org/10.1007/3-211-27389-1_24

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-24934-5

  • Online ISBN: 978-3-211-27389-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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