Andere Kunden interessierten sich auch für
![Time Series Forecasting Using Statistical And Neural Networks Models]( "Time Series Forecasting Using Statistical And Neural Networks Models")
Time Series Forecasting Using Statistical And Neural Networks Models32,99 €![Stochastic Models of Air Pollutant Concentration]( "Stochastic Models of Air Pollutant Concentration")
Stochastic Models of Air Pollutant Concentration42,99 €![Concentration and Gaussian Approximation for Randomized Sums]( "Concentration and Gaussian Approximation for Randomized Sums")
Concentration and Gaussian Approximation for Randomized Sums110,99 €![Concentration Inequalities and Model Selection]( "Concentration Inequalities and Model Selection")
Concentration Inequalities and Model Selection59,99 €![Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference]( "Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference")
Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference48,99 €![Concentration and Gaussian Approximation for Randomized Sums]( "Concentration and Gaussian Approximation for Randomized Sums")
Concentration and Gaussian Approximation for Randomized Sums110,99 €![On Multicollinearity and Artificial Neural Networks]( "On Multicollinearity and Artificial Neural Networks")
On Multicollinearity and Artificial Neural Networks32,99 €
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.