Forecasting the Price of Tomatoes: Comparison of Syncretistic Methods of Neural Network Auto-Regressive and ARIMA

Author(s):

V. Borimnejad , M. Bakeshloo

Message:
Abstract:
Abstract 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.
Keywords:

Forecasting , Price , Tomato , Neural Network Auto , Regressive , ARIMA

Language:
Persian
Published:
Agricultural Economic and Development, Volume:21 Issue: 83, 2014
Page:
89
https://www.magiran.com/p1232568  
سامانه نویسندگان
  • Borimnejad، Vali
    Corresponding Author (1)
    Borimnejad, Vali
    Professor Agricultural economics, Karaj Branch, Islamic Azad University, کرج, Iran
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