Merged methods of artificial neural networks and statistical techniques in forecasting air quality in the northern region of Peninsular Malaysia.

Artificial neural networks (ANNs) are widely applied in air quality modelling because they can capture nonlinear interactions among pollutants and support reliable air pollutant index (API) forecasting. This study aims to identify the pollutants that…

Preview only. Read the full abstract at the source