出版社：Ege University, Faculty of Economics and Administrative Sciences
摘要：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 NeuralNetworks 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.
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