Forecasting NO 2 concentration using artificial neural networks

This article describes a procedure for modeling the phenomenon of dispersion of the of nitrogen dioxide concentration (NO2) using the technique of multilayer perceptron (MLP). Our goal is to prove that the concentration of NO2 is an autoregressive variable explained by meteorological variables. To do this, we proceeded through three stages: in the first stage we used only NO2 concentration variable, in the second stage we used the meteorological variables only, in the third step we used the concentration of NO2 in combination with the meteorological variables. The results showed that the third case is better than the other cases that prove our hypothesis.

Autorentext

Soulaima studied at the Higher Institute of Management of Tunis where she completed 2 degrees:Bachelor's degree in "Finance" and Master degree in"Forecasting economic systems and financial markets".She is a Ph Student of the ongoing dissertation entitled" the impact of monetary and fiscal policy on the economic variable using DSGE-VAR model"