COMPARING THE ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS IN PREDICT OF CORN IMPORT OF IRAN

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KAZEMNEJAD M.M.; GILANPOUR O.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Agricultural Economics and Development Year:2014 | Volume:22 | Issue:85 Page(s): 213-235

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Title

COMPARING THE ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS IN PREDICT OF CORN IMPORT OF IRAN

Author(s)

KAZEMNEJAD M.M. | GILANPOUR O. | Issue Writer Certificate

Keywords

PREDICTQ2

NEURAL NETWORKQ2

CORNQ2

IMPORTQ2

IRANQ2

Abstract

The IMPORTance of PREDICTing the economic variables for policy makers and program planners is no secret to anyone. Therefore, over recent decades, several competing models have been developed. In this study, the amount of CORN IMPORT to IRAN is PREDICTed for the period 2010-2014 by using econometric techniques and artificial NEURAL NETWORKs methods. The results show that the feed forward NEURAL NETWORK with fewer errors and better performance compared with econometric techniques ARIMA and exponential smoothing to PREDICT the amount of CORN IMPORTs. The study results also show that the amount of CORN IMPORTs would grow in 2011 by 8 percent less than that of the previous year. Also the highest reduction in CORN IMPORTs compared with that of the previous year by the amount of 11 percent decrease is related to the year 2012. So, it is necessary to increase domestic production to meet domestic needs.

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APA: Copy

KAZEMNEJAD, M.M., & GILANPOUR, O.. (2014). COMPARING THE ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS IN PREDICT OF CORN IMPORT OF IRAN. EQTESAD-E KESHAVARZI VA TOWSE'E, 22(85), 213-235. SID. https://sid.ir/paper/24505/en

Vancouver: Copy

KAZEMNEJAD M.M., GILANPOUR O.. COMPARING THE ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS IN PREDICT OF CORN IMPORT OF IRAN. EQTESAD-E KESHAVARZI VA TOWSE'E[Internet]. 2014;22(85):213-235. Available from: https://sid.ir/paper/24505/en

IEEE: Copy

M.M. KAZEMNEJAD, and O. GILANPOUR, “COMPARING THE ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS IN PREDICT OF CORN IMPORT OF IRAN,” EQTESAD-E KESHAVARZI VA TOWSE'E, vol. 22, no. 85, pp. 213–235, 2014, [Online]. Available: https://sid.ir/paper/24505/en

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