OIL PRICE FORECASTING USING HYBRID INTELLIGENT SYSTEM

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ABRISHAMI HAMID; MOEINI ALI; AHRARI MEHDI; VARAHRAMI VIDA

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Journal: Macroeconomic Research Letter Year:2014 | Volume:9 | Issue:17 Page(s): 13-36

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Information Journal Paper

Title

OIL PRICE FORECASTING USING HYBRID INTELLIGENT SYSTEM

Author(s)

ABRISHAMI HAMID | MOEINI ALI | AHRARI MEHDI | VARAHRAMI VIDA | Issue Writer Certificate

Keywords

HYBRID INTELLIGENT SYSTEMQ2

GROUP METHOD OF DATA HANDLING (GMDH) NEURAL NETWORKSQ3

RULE-BASED EXPERT SYSTEM (RES)Q2

WEB-BASED TEXT MINING (WTM)Q2

CRUDE OIL PRICE FORECASTINGQ2

Abstract

In this paper, hybrid intelligent framework presented as a new and efficient method for CRUDE OIL PRICE FORECASTING. This method is developed by applying a systematic integration of GMDH neural networks with GA and Rule-based Expert System (RES) with Web- based Text Mining (WTM) for CRUDE OIL PRICE FORECASTING. In WTM, information about agents that affect on crude oil price outperforms from different sites and degree of these effective agents restores as rules by RES. These rules with long run and short run crude oil price moving averages are modeled by GMDH neural network and results reveal that HYBRID INTELLIGENT SYSTEM improve forecasting results.

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APA: Copy

ABRISHAMI, HAMID, MOEINI, ALI, AHRARI, MEHDI, & VARAHRAMI, VIDA. (2014). OIL PRICE FORECASTING USING HYBRID INTELLIGENT SYSTEM. JOURNAL OF MACROECONOMICS (JOURNAL OF ECONOMICS SCIENCES), 9(17), 13-36. SID. https://sid.ir/paper/150938/en

Vancouver: Copy

ABRISHAMI HAMID, MOEINI ALI, AHRARI MEHDI, VARAHRAMI VIDA. OIL PRICE FORECASTING USING HYBRID INTELLIGENT SYSTEM. JOURNAL OF MACROECONOMICS (JOURNAL OF ECONOMICS SCIENCES)[Internet]. 2014;9(17):13-36. Available from: https://sid.ir/paper/150938/en

IEEE: Copy

HAMID ABRISHAMI, ALI MOEINI, MEHDI AHRARI, and VIDA VARAHRAMI, “OIL PRICE FORECASTING USING HYBRID INTELLIGENT SYSTEM,” JOURNAL OF MACROECONOMICS (JOURNAL OF ECONOMICS SCIENCES), vol. 9, no. 17, pp. 13–36, 2014, [Online]. Available: https://sid.ir/paper/150938/en

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