عنوان مقاله [English]
نویسندگان [English]چکیده [English]
In this study ARIMA and neural network auto-regressive methods for predicting retail product prices of tomatoes were Compared. The data were weekly that included the retail prices of tomatoes during 2009-2010 and gathered from Tehran fruits and vegetables organization. The results showed that non-linear neural network auto-regressive model, in predicting the retail price of tomatoes has a lower error and thus is more efficient than ARIMA.
JEL Classification: C22, C45, C53, Q11
Forecasting, Price, Tomato, Neural Network Auto-Regressive, ARIMA