Computational intelligence techniques with application to crude oil price projection: A literature survey from 2001-2012

Chiroma, Haruna and Abdulkareem, Sameem and Abubakar, Adamu and Usman, Mohammed Joda (2013) Computational intelligence techniques with application to crude oil price projection: A literature survey from 2001-2012. Neural Network World: International Journal On Non-Standard Computing And Artificial Intelligence , 23 (6). pp. 523-551. ISSN 1210-0552

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Abstract

This paper is an attempt to survey the applications of computational intelligence techniques for predicting crude oil prices over a period of ten years. The purpose of this research is to provide an exhaustive overview of the existing literature which may assist prospective researchers. The reviewed literature covers a spectrum of publications on the proposed model, source of experimental data, period of data collection, year of publication and contributors. The overall trend of the publications in this area of research issued within the last decade is also addressed. The existing body of research has been analyzed and new research directions have been outlined that have been previously ignored. It is expected that researchers across the globe may thus be encouraged to re–direct their attention and resources in order to keep on searching for an optimum solution.

Item Type:	Article (Journal)
Additional Information:	7132/37924
Uncontrolled Keywords:	Crude oil price, computational intelligence techniques, west Texas intermediate, factors affecting crude oil price fluctuation, uncertainty events
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Ahmad Nazreen Mohd Shamsuri (PT)
Date Deposited:	27 Aug 2014 10:55
Last Modified:	27 Aug 2014 10:55
URI:	http://irep.iium.edu.my/id/eprint/37924

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