Title of article
Neural computation to predict TiO2 photocatalytic efficiency for nitrogen oxides removal
Author/Authors
Toma، نويسنده , , Filofteia-Laura and Guessasma، نويسنده , , Sofiane and Klein، نويسنده , , Didier and Montavon، نويسنده , , Ghislain and Bertrand، نويسنده , , Ghislaine and Coddet، نويسنده , , Christian، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
6
From page
91
To page
96
Abstract
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 test ANN where it was 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.
Keywords
photocatalysis , TIO2 , Nitrogen oxides removal , Artificial neural network
Journal title
Journal of Photochemistry and Photobiology:A:Chemistry
Serial Year
2004
Journal title
Journal of Photochemistry and Photobiology:A:Chemistry
Record number
1613987
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