Mahdi Mehdinejad
Department of Civil Engineering, Kharazmi University, Tehran, 43 Mofateh Ave, Iran
[ 1 ] - Short-term prediction of atmospheric concentrations of ground-level ozone in Karaj using artificial neural network
Air pollution is a challenging issue in some of the large cities in developing countries. Air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. Several methods exist to analyze air quality. Among them, we applied the dynamic neural network (TDNN) and Radial Basis Function (RBF) methods to predict the concentrations of ground-level...
[ 2 ] - Short-term prediction of atmospheric concentrations of ground-level ozone in Karaj using artificial neural network
Air pollution is a challenging issue in some of the large cities in developing countries. Air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. Several methods exist to analyze air quality. Among them, we applied the dynamic neural network (TDNN) and Radial Basis Function (RBF) methods to predict the concentrations of ground-level...
نویسندگان همکار