A new hybrid model predicts air pollution with higher stability and accuracy.
problem Accurate and reliable forecasting of PM2.5 and PM10 to warn of hazardous air pollutants.
method Data preprocessing, MOHHO algorithm, ELM model optimization, robust evaluation system.
result The hybrid model outperforms other models in stability and accuracy.