Author/Authors
KAYNAR, Oğuz Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi - Yönetim Bilisim Sistemleri Bölümü, Turkey , TASTAN, Serkan Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi - Yönetim Bilisim Sistemleri Bölümü, Turkey , DEMIRKOPARAN, Ferhan Cumhuriyet Üniversitesi - Iktisadi ve Idari Bilimler Fakültesi - Yönetim Bilisim Sistemleri Bölümü, Turkey
Title Of Article
CRUDE OIL PRICE FORECASTING WITH ARTIFICIAL NEURAL NETWORKS
شماره ركورد
44214
Abstract
Almost every sector in economy is connected with oil directly or indirectly. Consequently, the changes on petrol industry, and thus, on petrol prices create various effects on both country and world economy by means of chaining reactions turning up. For making affective plans for the future about petrol industry which has a considerably unsteady and interactive structure because of its complex dynamics, straight and confidential predictions are needed. So, classical time series analysis method ARIMA and MLP and RBF Neural Networks which are able to model complex relationships in data set and have a large part in time series analysis recently are used in this study.
From Page
559
NaturalLanguageKeyword
ANN , MLP , RBF , ARIMA , Crude oil , Forecasting
JournalTitle
Ege Academic Review (EAR)
To Page
573
JournalTitle
Ege Academic Review (EAR)
Link To Document