Innovative Production Machines and Systems Conference

This work presents a method to predict Sulphur Dioxide (SO2) concentrations for the city of Salamanca, Gto., based on real data provided by a Monitoring network during the months of December of years 2002, 2003 and 2004. A Generalized Regression Neural Network (GRNN) is used to perform the predictions. The GRNN was trained with the data obtained from years 2002 and 2003, and the data from year 2004 were the test group data. Predictions were made for 1, 12 and 24 hours ahead, and results have been promising. Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are the performance measures for the GRNN.