Predikce koncentrací znečišťujících látek v ovzduší

Abstract

This work describes the application of artificial neural networks for prediction of air pollutants concentration. Artificial neural networks Multilayer perceptron and RBF were used. Pollutant concentration values measured previous day and meteorological parameters measured at meteorological station in Ostrava-Mošnov in the years 2005 – 2009 were used.