Open access
Aug 2026
From data to decisions: how neural network input structures propagate to air quality policies
In air-quality planning, Artificial Neural Networks (ANNs) have emerged as surrogate models capable of capturing complex nonlinear relationships between emissions and pollutant concentrations with reduced computational time required by chemical and transport models. However, the extent to which surrogate model design i...
Laura Zecchi, M. Arrighini, Claudio Marchesi et al.
· npj Clean Air · 1 citation