Now showing items 1-2 of 2
Application of artificial neural networks to predict prevalence of building-related symptoms in office buildings
Artificial neural networks (ANN) were constructed to predict prevalence of building-related symptoms (BRS) of office building occupants. Six indoor air pollutants and four indoor comfort variables were used as input variables ...
Forecasting ambient air SO2 concentrations using artificial neural networks
(Taylor & Francis, 2006-07)
An Artificial Neural Networks (ANNs) model is constructed to forecast SO 2 concentrations in Izmir air. The model uses meteorological variables (wind speed and temperature) and measured particulate matter concentrations ...