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Information Journal Paper

Title

FORECASTING GASOLINE PRICE USING GMDH NEURAL NETWORK BASED ON GA

Pages

  37-58

Abstract

 In this paper, we use GMDH NEURAL NETWORK based on Genetic Algorithm to model and forecast the price of gasoline using two approaches; DEDUCTIVE METHOD and TECHNICAL ANALYSIS. The results of DEDUCTIVE METHOD indicate that the accuracy of prediction could reach up to 96% and in TECHNICAL ANALYSIS could reach up to 99%. Furthermore the comparison reveals that the GMDH NEURAL NETWORKs model consistently outperforms the regression model used in this study.

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    APA: Copy

    ABRISHAMI, H., MOEINI, ALI, MEHRARA, MOHSEN, AHRARI, M., & SOLEYMANIKIA, F.. (2008). FORECASTING GASOLINE PRICE USING GMDH NEURAL NETWORK BASED ON GA. IRANIAN ECONOMIC RESEARCH, 12(36), 37-58. SID. https://sid.ir/paper/2522/en

    Vancouver: Copy

    ABRISHAMI H., MOEINI ALI, MEHRARA MOHSEN, AHRARI M., SOLEYMANIKIA F.. FORECASTING GASOLINE PRICE USING GMDH NEURAL NETWORK BASED ON GA. IRANIAN ECONOMIC RESEARCH[Internet]. 2008;12(36):37-58. Available from: https://sid.ir/paper/2522/en

    IEEE: Copy

    H. ABRISHAMI, ALI MOEINI, MOHSEN MEHRARA, M. AHRARI, and F. SOLEYMANIKIA, “FORECASTING GASOLINE PRICE USING GMDH NEURAL NETWORK BASED ON GA,” IRANIAN ECONOMIC RESEARCH, vol. 12, no. 36, pp. 37–58, 2008, [Online]. Available: https://sid.ir/paper/2522/en

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