Indian Journal of Science and Technology

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Application of Artificial Neural Network (ANN) for Modelling the Economic Efficiency of Broiler Production Units


Affiliations
1 Department of Agricultural Mechanization, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
2 Department of Mechanical Agricultural Machinery, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
3 Department of Agricultural Mechanization, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
 

The present study addressed the economic analysis of broiler production units. Therefore, required data was collected from 50 broiler production units using personal questionnaires in the winter, 2013. Cronbach alpha coefficient was estimated for these questionnaires to be 0.81, which indicates the reliability of the questionnaire is acceptable. The results showed that the feedforward neural network with two hidden layers (4 and 17 neurons for the economic model) had the best results and it can be used to estimate the energy ratio with high precision. The optimal model performance was performed using measures such as the coefficient of determination (R2), MSE, MAPE and MAE. Value of R2 was reported for the economic model as 96%.

Keywords

Artificial Neural Networks, Broiler, Economic Analysis, the Ratio of Benefit to Cost
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  • Application of Artificial Neural Network (ANN) for Modelling the Economic Efficiency of Broiler Production Units

Abstract Views: 277  |  PDF Views: 0

Authors

Mohsen Yamini Sefat
Department of Agricultural Mechanization, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
Ali Mohammad Borgaee
Department of Mechanical Agricultural Machinery, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
Babak Beheshti
Department of Mechanical Agricultural Machinery, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
Hossein Bakhoda
Department of Agricultural Mechanization, Science and Research Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of

Abstract


The present study addressed the economic analysis of broiler production units. Therefore, required data was collected from 50 broiler production units using personal questionnaires in the winter, 2013. Cronbach alpha coefficient was estimated for these questionnaires to be 0.81, which indicates the reliability of the questionnaire is acceptable. The results showed that the feedforward neural network with two hidden layers (4 and 17 neurons for the economic model) had the best results and it can be used to estimate the energy ratio with high precision. The optimal model performance was performed using measures such as the coefficient of determination (R2), MSE, MAPE and MAE. Value of R2 was reported for the economic model as 96%.

Keywords


Artificial Neural Networks, Broiler, Economic Analysis, the Ratio of Benefit to Cost



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i11%2F59406