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Cites:

26

Information Journal Paper

Title

FORECASTING EXPORTS OF PISTACHIO FROM IRAN: APPLICATION OF ARTIFICIAL NEURAL NETWORKS

Pages

  191-214

Abstract

 With respect to the role of FORECASTING in trade policy of agricultural products, attempts were made in this study to apply ARTIFICIAL NEURAL NETWORKS for FORECASTING PISTACHIO exports and compare it with commonly used ARIMA models. Official data for 1304-1382 were utilized for comparison of accuracy of FORECASTING in various models. The results of study revealed that Feed Forward Network had a better performance in comparison to other models.

Cites

References

Cite

APA: Copy

NAJAFI, B.A.D., & TARAZKAR, M.H.. (2006). FORECASTING EXPORTS OF PISTACHIO FROM IRAN: APPLICATION OF ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF TRADE STUDIES (IJTS), 10(39), 191-214. SID. https://sid.ir/paper/7176/en

Vancouver: Copy

NAJAFI B.A.D., TARAZKAR M.H.. FORECASTING EXPORTS OF PISTACHIO FROM IRAN: APPLICATION OF ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF TRADE STUDIES (IJTS)[Internet]. 2006;10(39):191-214. Available from: https://sid.ir/paper/7176/en

IEEE: Copy

B.A.D. NAJAFI, and M.H. TARAZKAR, “FORECASTING EXPORTS OF PISTACHIO FROM IRAN: APPLICATION OF ARTIFICIAL NEURAL NETWORKS,” IRANIAN JOURNAL OF TRADE STUDIES (IJTS), vol. 10, no. 39, pp. 191–214, 2006, [Online]. Available: https://sid.ir/paper/7176/en

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