Modeling and optimization of VO/TiO nanocatalysts for NH-Selective catalytic reduction (SCR) of NOx by RSM and ANN techniques.

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 (NH-SCR) over VO/TiO nanocatalysts. The relationship between catalyst preparation variables, such as metal loading, impregnation temperature, and calcination temperature on NO conversion were investigated. The R value of 0.