Air pollution estimation via neural networks

Abstract In this paper a novel approach, based on Neural Networks, is introduced in order to perform a short-term prediction of pollution in an industrial area. In particular the mean values of SO 2 pollutant are estimated in a time window of 6 hours. The results reported in the paper show the suitability of the proposed approach.