مدل سازي و پيش بيني رشد اقتصادي در ايران با استفاده از شبكه هاي عصبي مصنوعي ANN

Artificial neural networks(ANN) are flexible models used for data analyzing and Modeling non-linear relations. Most economic applications of the ANN models have been in financial markets. Only recently there have been same macroeconomic applications of ANN models. In this paper, we set up an ANN model to forecast Iranian Economic growth using a long data from 1315 to 1375. We used different inputs based on Economic growth models and time series forecasting models in the ANN model. The forecasting results are then compared with those of the economic and time series models. The results show that in most of the cases, the ANN model outperform other traditional forecasting models.