FORECASTING IRANIAN DATE EXPORT USING ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS

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AKBARI A.; SHAREI M.; MEHRABI H.

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Paper Information

Journal: JOURNAL OF AGRICULTURAL ECONOMICS RESEARCH Year:2013 | Volume:5 | Issue:3 (19) Page(s): 101-121

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Information Journal Paper

Title

FORECASTING IRANIAN DATE EXPORT USING ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS

Author(s)

AKBARI A. | SHAREI M. | MEHRABI H. | Issue Writer Certificate

Keywords

ORECASTINGQ2

DATE EXPORTQ2

ARTIFICIAL NEURAL NETWORKSQ2

GENETIC ALGORITHMSQ2

ARIMAQ2

GARCHQ2

IRANQ2

Abstract

This study attempts to forecast the export of IRAN's date for the period of 2010-2016, using the econometric methods, ARMA, GARCH, and the methods of computational intelligence, ARTIFICIAL NEURAL NETWORKS and GENETIC ALGORITHMS. The data from 1967-2009 were used. The data from 1967-2005 were used for modeling and the four last years, were used to examine forecast ability. Results indicated that the neural network has the lowest Forecast error comparing other methods followed by Genetic Algorithm .According to the superiority of neural networks in fORECASTING the IRAN's DATE EXPORT, forecasts made by this, shows the decreasing- increasing trend in the exports of lran’s date.

Cites

پیش بینی تولید آبزیان دریایی در ایران با استفاده از روش ARIMA و شبکه عصبی مصنوعی

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APA: Copy

AKBARI, A., SHAREI, M., & MEHRABI, H.. (2013). FORECASTING IRANIAN DATE EXPORT USING ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF AGRICULTURAL ECONOMICS RESEARCH, 5(3 (19)), 101-121. SID. https://sid.ir/paper/158875/en

Vancouver: Copy

AKBARI A., SHAREI M., MEHRABI H.. FORECASTING IRANIAN DATE EXPORT USING ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF AGRICULTURAL ECONOMICS RESEARCH[Internet]. 2013;5(3 (19)):101-121. Available from: https://sid.ir/paper/158875/en

IEEE: Copy

A. AKBARI, M. SHAREI, and H. MEHRABI, “FORECASTING IRANIAN DATE EXPORT USING ECONOMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF AGRICULTURAL ECONOMICS RESEARCH, vol. 5, no. 3 (19), pp. 101–121, 2013, [Online]. Available: https://sid.ir/paper/158875/en

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