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Information Journal Paper

Title

APPLICATION OF HEURISTIC RULES AND GENETIC ALGORITHM IN ARMA MODEL ESTIMATION FOR TIME SERIES PREDICTION

Pages

  1-26

Abstract

 The first step of forecasting time series is to build an appropriate model. Determining orders and estimation of ARMA model parameters is a challenging field in traditional statistical and intelligent methods. In this paper, GENETIC ALGORITHM is used for parameter estimation and HEURISTIC RULES are used to determine orders of ARMA model. HEURISTIC RULES are extracted according to time series properties. The data are selected using sliding time window. Model identification is carried out by using Bayesian information criterion (BIC). The mean squares error and the mean absolute percentage error are used to evaluate the results of prediction. The proposed method was applied to eight time series in different types, and the results were compared with results of statistical methods. The achieved result shows equivalent or superior performance for the proposed method in comparison with the classic method.

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    APA: Copy

    ASGHARI OSKOEI, MOHAMMAD REZA, & GHASEMZADEH, MOHAMMAD. (2016). APPLICATION OF HEURISTIC RULES AND GENETIC ALGORITHM IN ARMA MODEL ESTIMATION FOR TIME SERIES PREDICTION. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 8(1 ), 1-26. SID. https://sid.ir/paper/140408/en

    Vancouver: Copy

    ASGHARI OSKOEI MOHAMMAD REZA, GHASEMZADEH MOHAMMAD. APPLICATION OF HEURISTIC RULES AND GENETIC ALGORITHM IN ARMA MODEL ESTIMATION FOR TIME SERIES PREDICTION. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2016;8(1 ):1-26. Available from: https://sid.ir/paper/140408/en

    IEEE: Copy

    MOHAMMAD REZA ASGHARI OSKOEI, and MOHAMMAD GHASEMZADEH, “APPLICATION OF HEURISTIC RULES AND GENETIC ALGORITHM IN ARMA MODEL ESTIMATION FOR TIME SERIES PREDICTION,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 8, no. 1 , pp. 1–26, 2016, [Online]. Available: https://sid.ir/paper/140408/en

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