KSME Conference Review — Neural-Net PM2.5 Prediction (Gold Award, KSME Fluid Mechanics Competition, 2019)
An undergraduate thesis from 2019 — using a neural network (ANN) to predict PM2.5 concentrations 6/12 hours ahead. 94,225 observations from weather + air-quality data, AIC·VIF variable selection, Window Learning. Plus the time-lag pitfall discovered two years later.
