Forecasting Demand for Crude Oil of Iran Using Artificial Neural Networks and ARMAX Models
The purpose of this paper is to forecast demand for crude oil of Iran using Artificial Neural Networks and ARMAX models. The result indicates that Artificial Neural Networks provides an accurate and better picture compared with ARMAX. In order to show whether the variables used in this study are tru...
Main Authors: | , , |
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Format: | Article |
Language: | fas |
Published: |
Allameh Tabataba'i University Press
2013-07-01
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Series: | Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān |
Subjects: | |
Online Access: | http://jiee.atu.ac.ir/article_756_a85316d766bc2e96fb8235a32d424289.pdf |