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Neural computation to predict TiO2 photocatalytic efficiency for nitrogen oxides removal

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: F.L. Toma, S. Guessasma, D. Klein, G. Montavon, G. Bertrand, C. Coddet

Editorial: Elsevier, Journal of Photochemistry and Photobiology A: Chemistry, 165, p. 91-96, 2004.

Rezumat:

An artificial neural network (ANN) was built to analyze the decrease of nitrogen oxides relative to TiO2 powder photocatalytic efficiency.
Experimental sets were considered to train and testANNwhere itwas possible to identify an optimized structure representing the correlations
between experimental variables and NO and NOx efficiencies. Predicted results permitted to point out the role of exposed surface and
powder mass.

Cuvinte cheie: retele neuronale artificiale, fotocataliza, TiO2, eliminarea oxizilor de azot // Artificial neural network; Photocatalysis; TiO2; Nitrogen oxides removal

URL: http://www.sciencedirect.com