Article Title

Using some Statistical methods and artificial intelligence to predict the amount of oil exports in Iraq

Authors

Ramia Aljubayli, Tishreen University, SyriaFollow

Document Type

Original Study

Abstract

Building predictive models that aid in the creation of economic growth plans involves the use of statistical techniques and artificial intelligence. Based on data for the time, the study sought to compare the ARIMA, artificial neural networks, and the hybrid technique to predict the volume of oil shipments from Iraq (January 2018- December 2021). It has been determined by comparing these models using the MAE, RMSE, MSE, and MAPE prediction accuracy measures that artificial neural networks are superior to ARIMA because they provide the lowest value of errors in accordance with the earlier measures. The use of the hybrid method also assisted in lowering the error value where it has been relied upon to determine the amount of oil exports from Iraq until June 2022.

Recommended Citation

Aljubayli, Ramia (2022) "Using some Statistical methods and artificial intelligence to predict the amount of oil exports in Iraq," Journal of STEPS for Humanities and Social Sciences: Vol. 1 : Iss. 3 , Article 11.
Available at: https://doi.org/10.55384/2790-4237.1073

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.