Air quality prediction using artificial neural network

Abstract

Over the last few years, the use of artificial neural networks (ANNs) has increased in many areas of engineering. Artificial neural network have been applied to many environmental engineering problems and have demonstrated some degree of success. The aim of study is to develop neural network air quality prediction model for the sensitive area of Ujjain city (MAHAKAL MANDIR) in India. In this study, two prediction models are developed using feed-forward neural network for the air pollutant NOx. Several metrological data such as temperature, relative humidity, air velocity and rainfall are given as input parameters while concentration of NOx was considered as the output variable in this study. The performance of the developed model was assessed through a measure of Mean Square Error (MSE). From the constructed networks, the best prediction performance was observed in a model with network structure 04-07-01 and MSE 0.00223.