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Information Journal Paper

Title

Comparison of econometric models and artificial neural networks to predict of Iran Oilcake imports

Pages

  633-646

Abstract

 The importance of economic variables Forecasting for policy makers and planners and firms is obvious. Therefore, in recent decades, several models have been developed. In the present study, the Oilcake import quantity predicted by using econometric Model and Artificial Neural Network for 1400-1394. For this purpose, for predict and education network, the data of the 88-1348 and for test the accuracy of forecasts, the data of the 1393-1389 were used. The results showed that forward neural network compared to ARIMA and exponential smoothing method with fewer errors and better performance for predicting of Oilcake import. The results show that the Oilcake imports in 1394 compared to last year, has a 32% increase. Therefore, it is necessary to reduce the amount of imported and domestic needs, be protectionist policies. Also, to control of the steep rise in Oilcake import, policy makers and planners would be necessary programs apply, including increased tariffs. The grants for the production and supply companies in the conversion process to Oilcake can be used to increase the productivity and competitiveness of these products to be effective.

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    APA: Copy

    SOHRABI, ROHOLLAH. (2016). Comparison of econometric models and artificial neural networks to predict of Iran Oilcake imports. IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH, 47(3 ), 633-646. SID. https://sid.ir/paper/146274/en

    Vancouver: Copy

    SOHRABI ROHOLLAH. Comparison of econometric models and artificial neural networks to predict of Iran Oilcake imports. IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH[Internet]. 2016;47(3 ):633-646. Available from: https://sid.ir/paper/146274/en

    IEEE: Copy

    ROHOLLAH SOHRABI, “Comparison of econometric models and artificial neural networks to predict of Iran Oilcake imports,” IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH, vol. 47, no. 3 , pp. 633–646, 2016, [Online]. Available: https://sid.ir/paper/146274/en

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