ANTICIPATION OF THE PRICE FOR ONE DAY OLD FLESHY CHICKEN IN IRAN USING OF ARTIFICIAL NEURAL NETWORK AND TIME SERIES MODELS

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MOHAMMADINEJAD A.; MOGHADDASI R.; AMOIE M.

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Journal: JOURNAL OF AGRICULTURAL EXTENSION AND EDUCATION RESEARCH Year:2012 | Volume:5 | Issue:1 (17) Page(s): 85-99

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Title

ANTICIPATION OF THE PRICE FOR ONE DAY OLD FLESHY CHICKEN IN IRAN USING OF ARTIFICIAL NEURAL NETWORK AND TIME SERIES MODELS

Author(s)

MOHAMMADINEJAD A. | MOGHADDASI R. | AMOIE M. | Issue Writer Certificate

Keywords

PRICE ANTICIPATIONQ3

ARTIFICIAL NEURAL NETWORKQ3

ONE DAY OLD FLESHY CHICKENQ3

TIME SERIAL MODELSQ3

Abstract

In this study, in order to anticipate the whole sale price for ONE DAY OLD FLESHY CHICKEN in Iran, for time horizon of the future one, three and six months, ARTIFICIAL NEURAL NETWORK method and Auto Regressive Integrated Moving Average were used. The required data for a period from April, 2001 up to March, 2009 was received monthly by trade union of ONE DAY OLD FLESHY CHICKEN producers. Data of a period from April, 2001 up to March, 2009 was used to compare the methods and data of the last six months was used to study the anticipation power. In order to compare the anticipation error of these two methods, Mean Error, Mean Absolute Error, Mean Square Error and Mean Absolute Percent error were utilized. Study results showed that ARTIFICIAL NEURAL NETWORK has lower error to anticipate the price for ONE DAY OLD FLESHY CHICKEN in time horizons of the future one, three and six months and it is meaningfully more precise than Auto Regressive Integrated Moving Average.

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APA: Copy

MOHAMMADINEJAD, A., MOGHADDASI, R., & AMOIE, M.. (2012). ANTICIPATION OF THE PRICE FOR ONE DAY OLD FLESHY CHICKEN IN IRAN USING OF ARTIFICIAL NEURAL NETWORK AND TIME SERIES MODELS. JOURNAL OF AGRICULTURAL EXTENSION AND EDUCATION RESEARCH, 5(1 (17)), 85-99. SID. https://sid.ir/paper/189923/en

Vancouver: Copy

MOHAMMADINEJAD A., MOGHADDASI R., AMOIE M.. ANTICIPATION OF THE PRICE FOR ONE DAY OLD FLESHY CHICKEN IN IRAN USING OF ARTIFICIAL NEURAL NETWORK AND TIME SERIES MODELS. JOURNAL OF AGRICULTURAL EXTENSION AND EDUCATION RESEARCH[Internet]. 2012;5(1 (17)):85-99. Available from: https://sid.ir/paper/189923/en

IEEE: Copy

A. MOHAMMADINEJAD, R. MOGHADDASI, and M. AMOIE, “ANTICIPATION OF THE PRICE FOR ONE DAY OLD FLESHY CHICKEN IN IRAN USING OF ARTIFICIAL NEURAL NETWORK AND TIME SERIES MODELS,” JOURNAL OF AGRICULTURAL EXTENSION AND EDUCATION RESEARCH, vol. 5, no. 1 (17), pp. 85–99, 2012, [Online]. Available: https://sid.ir/paper/189923/en

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