A review on artificial intelligence methodologies for the forecasting of crude oil price

• Main Authors: Haruna, Chiroma, Abdul-Kareem, Sameem, Mohd Nor, Ahmad Shukri, Abubakar, Adamu, Safa, Nader Sohrabi, Shuib, Liyana, Hamza, Mukhtar Fatihu, Ya'u Gital, Abdulsalam, Herawan, Tutut
• Format: Article
• Language: English; English
• Published: Taylor & Francis 2016
• Subjects: Q350 Information theory
• Online Access: http://irep.iium.edu.my/49287/1/AUTOSOFT-10798587%252E2015%252E1092338.pdf; http://irep.iium.edu.my/49287/4/49287_A%20review%20on%20artificial%20intelligence%20methodologies.pdf; http://irep.iium.edu.my/49287/; http://www.tandfonline.com/doi/abs/10.1080/10798587.2015.1092338?journalCode=tasj20

When crude oil prices began to escalate in the 1970s, conventional methods were the predominant methods used in forecasting oil pricing. These methods can no longer be used to tackle the nonlinear, chaotic, non-stationary, volatile, and complex nature of crude oil prices, because of the methods’...