THE APPLICATION OF NEURAL NETWORK IN TIME SERIES FORECASTS AND ITS COMPARISON WITH ARLMA MODEL

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GHASEMI A.R.; ASADPOUR H.; SHASADEQI M.

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Journal: Iranian Journal of Trade Studies Year:2000 | Volume:4 | Issue:14 Page(s): 87-120

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Title

THE APPLICATION OF NEURAL NETWORK IN TIME SERIES FORECASTS AND ITS COMPARISON WITH ARLMA MODEL

Author(s)

GHASEMI A.R. | ASADPOUR H. | SHASADEQI M. | Issue Writer Certificate

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Abstract

The importance of accurate and precise estimations of economic variables in making correct and appropriate decisions as well as the existence of different methods of time series forecasts have been the motivations of this study to compare Nerves Network Model with ARIMA Model. The data inputs used in this study include monthly prices of milk from March 1992 to February 1997. The results derived from compared estimated values of a 12 month period from March 1996 to February 1997, with the real values, shows that average square errors in the Nerves Network Model to ARIMA Model is 8.85 percent less. Also, the average percentage of absolute errors is 21.79 percent less in the Nerves Network. Model than ARIMA Model. Although, the Nerves Network Model forecasts cannot be explained by statistical methods and cannot fall between a confidence interval, however, this model could be used in forecasting of such variables in a more precIse manner.

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APA: Copy

GHASEMI, A.R., ASADPOUR, H., & SHASADEQI, M.. (2000). THE APPLICATION OF NEURAL NETWORK IN TIME SERIES FORECASTS AND ITS COMPARISON WITH ARLMA MODEL. IRANIAN JOURNAL OF TRADE STUDIES (IJTS), 4(14), 87-120. SID. https://sid.ir/paper/7262/en

Vancouver: Copy

GHASEMI A.R., ASADPOUR H., SHASADEQI M.. THE APPLICATION OF NEURAL NETWORK IN TIME SERIES FORECASTS AND ITS COMPARISON WITH ARLMA MODEL. IRANIAN JOURNAL OF TRADE STUDIES (IJTS)[Internet]. 2000;4(14):87-120. Available from: https://sid.ir/paper/7262/en

IEEE: Copy

A.R. GHASEMI, H. ASADPOUR, and M. SHASADEQI, “THE APPLICATION OF NEURAL NETWORK IN TIME SERIES FORECASTS AND ITS COMPARISON WITH ARLMA MODEL,” IRANIAN JOURNAL OF TRADE STUDIES (IJTS), vol. 4, no. 14, pp. 87–120, 2000, [Online]. Available: https://sid.ir/paper/7262/en

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