A HYBRID METHOD OF ECONOMETRICS AND ARTIFICIAL NEURAL NETWORKS FOR FORECASTING: A CASE STUDY

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HASHEMINIA H.; AKHAVAN NIAKI S.T.

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Paper Information

Journal: INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING) Year:2008 | Volume:24 | Issue:43 Page(s): 39-45

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Title

A HYBRID METHOD OF ECONOMETRICS AND ARTIFICIAL NEURAL NETWORKS FOR FORECASTING: A CASE STUDY

Author(s)

HASHEMINIA H. | AKHAVAN NIAKI S.T. | Issue Writer Certificate

Keywords

ECONOMETRICSQ3

ARTIFICIAL NEURAL NETWORKSQ2

PREDICTIONQ2

Abstract

Precise and reliable PREDICTION of economical phenomena is one of the most important goals of economists. Economists have used econometric methods to predict and analyze economic phenomena for several years. Recently, methods, such as Neural Networks, Fuzzy Logic and Genetic Algorithms, have been introduced to economists as new methods for the PREDICTION of economical phenomena. In this paper, based on a combination of Econometric and Neural Network approaches, a new method is introduced, which is more precise and more reliable than the typical Econometric or Neural Network methods. Its reliability has come from its Econometric function and its precision has come from its Neural Network part. In order to observe the performance of the new method, the number of demands of financial facilities from one of the development banks of Iran is modeled and the results compared with those of the typical methods. The results of the comparison show the efficiency of the proposed method.

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APA: Copy

HASHEMINIA, H., & AKHAVAN NIAKI, S.T.. (2008). A HYBRID METHOD OF ECONOMETRICS AND ARTIFICIAL NEURAL NETWORKS FOR FORECASTING: A CASE STUDY. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), 24(43), 39-45. SID. https://sid.ir/paper/107621/en

Vancouver: Copy

HASHEMINIA H., AKHAVAN NIAKI S.T.. A HYBRID METHOD OF ECONOMETRICS AND ARTIFICIAL NEURAL NETWORKS FOR FORECASTING: A CASE STUDY. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING)[Internet]. 2008;24(43):39-45. Available from: https://sid.ir/paper/107621/en

IEEE: Copy

H. HASHEMINIA, and S.T. AKHAVAN NIAKI, “A HYBRID METHOD OF ECONOMETRICS AND ARTIFICIAL NEURAL NETWORKS FOR FORECASTING: A CASE STUDY,” INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), vol. 24, no. 43, pp. 39–45, 2008, [Online]. Available: https://sid.ir/paper/107621/en

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