Opec Oil Price Prediction Using Anfis

Volume 10, Issue 4, pp 286-296 http://dx.doi.org/10.22436/jmcs.010.04.07

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Authors

E. Lotfi - Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran. M. R. Karimi - Department of Accounting, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran.

Abstract

In this paper adaptive neuro-fuzzy inference system (ANFIS) is developed to predict the oil prices of the organization of petroleum exporting countries (OPEC). The novel aspect of the proposed model is the proposed features set fed the ANFIS. In the numerical studies, the proposed method is tested to modeling OPEC oil time series as a case study. According to the comparative results, ANFIS with proposed variables set shows higher accuracy than conventional neural networks in oil price prediction.

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Keywords

• Artificial neural network
• Fuzzy
• Oil
• Forecasting.

MSC

•  62M20
•  91B28
•  91G70
•  62P05

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