“Artificial Neural Network Model Most Accurately Predicts PM2.5 Concentration Using SO2, NO2, and PM10 Inputs”

https://pubmed.ncbi.nlm.nih.gov/38114578

The study found that an Artificial Neural Network (LM-ANN) model using sulfur dioxide, nitrogen dioxide, and PM10 concentrations as inputs most accurately predicts PM2.5 concentration, surpassing Multiple Linear Regression and other ANN models.