Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam
This study examines the predictive efficiency of several feature selection approaches in air quality models aimed to predict next-day PM2.5 concentrations in Shah Alam, Malaysia. Air pollution in urban areas is a significant public health concern, and accurate prediction models are essential for tim...