DrHossein Sadeghi, SamanehKhaksar Astaneh, and Mohammadhadi Hajian
Assistant Professor of Economics, TarbiatModares University, Tehran, Iran
M. Sc Student of Energy Economics, TarbiatModares University, Tehran, Iran
PhD Candidate of Economics, TarbiatModares University, Tehran, Iran
Key words: Pollution alleviation, PM10, forecast, LMS learning algorithm, Lag Neural Network.
Abstract
In order to take proper policies for pollution alleviation, it is necessary to forecast the trend of air pollution. Based on reports of World Health Organization, Ahvaz, a city located in south of Iran, is the most polluted city in the world. In this study, Continue reading Short-run prediction of suspended particles’ pollution; a neural network application: Case study: Ahvaz city, Iran – JBES