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Nonlinear relationships between atmospheric aerosol and its gaseous precursors：Analysis of long-term air quality monitoring data by means of neural networks
Nonlinear relationships atmospheric aerosol gaseous precursors neural networks
2009/3/10
The nonlinear features of the relationships between concentrations of aerosol and volatile organic compounds (VOC) and nitrogen oxides (NOx) in urban environments are revealed directly from data of lo...
Neural networks are ideally suited to describe the spatial and temporal dependence of tracer-tracer correlations. The neural network performs well even in regions where the correlations are less compa...