Title of article
OPEC Oil Price Prediction Using ANFIS
Author/Authors
Lotfi، Ehsan نويسنده Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam , , Karimi، M.R. نويسنده Department of Accounting, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
11
From page
286
To page
296
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.
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Serial Year
2014
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Record number
1519057
Link To Document