A review on artificial intelligence methodologies for the forecasting of crude oil price
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’...
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: | |
Online Access: | http://irep.iium.edu.my/49287/ http://irep.iium.edu.my/49287/ http://irep.iium.edu.my/49287/ 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 |
Similar Items
-
Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
by: Haruna, Chiroma, et al.
Published: (2017) -
An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
by: Haruna, Chiroma, et al.
Published: (2015) -
Computational intelligence techniques with application to crude oil price projection: a literature survey from 2001–2012
by: Haruna, Chiroma, et al.
Published: (2013) -
Soft computing approach for predicting OPEC countries’ oil consumption
by: Chiroma, Haruna, et al.
Published: (2017) -
Optimization of neural network using cuckoo search for the classification of diabetes
by: Abubakar, Adamu, et al.
Published: (2015)