A COMPARISON OF MLP AND RBF NEURAL NETWORKS PERFORMANCE FOR ESTIMATION OF BROILER OUTPUT ENERGY

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AMID SAMA; MESRI GUNDOSHMIAN TARAHOM; SHAHGOLI GHOLAMHOSSEIN

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Journal: Iranian Journal of Biosystems Engineering Year:2016 | Volume:47 | Issue:2 Page(s): 319-328

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Title

A COMPARISON OF MLP AND RBF NEURAL NETWORKS PERFORMANCE FOR ESTIMATION OF BROILER OUTPUT ENERGY

Author(s)

AMID SAMA | MESRI GUNDOSHMIAN TARAHOM | SHAHGOLI GHOLAMHOSSEIN | Issue Writer Certificate

Keywords

ENERGY MANAGEMENTQ2

ENERGY RESOURCESQ3

PREDICTIONQ2

SENSITIVITYQ1

Abstract

Proper ENERGY MANAGEMENT is one of the main factors of the efficient use of ENERGY RESOURCES. A PREDICTION of crop yield as based upon energy input can help farmers as well as policymakers to estimate the level of production. Required data for the present study were randomly collected from 70 broiler farms in North West of Iran. The input energies included human labour, machinery, fuel, feed and electricity while the energies produced considered as output variables. Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks were applied for PREDICTION of output energies of broiler production. A comparison of the results obtained from the indices of the coefficient of determination (R2), Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) the performance of ANN-RBF model as more appropriate than ANNMLP model. In an evaluation of the effects of inputs on outputs of the production, fossil fuel showed the highest SENSITIVITY among the production inputs in either of the models.

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APA: Copy

AMID, SAMA, MESRI GUNDOSHMIAN, TARAHOM, & SHAHGOLI, GHOLAMHOSSEIN. (2016). A COMPARISON OF MLP AND RBF NEURAL NETWORKS PERFORMANCE FOR ESTIMATION OF BROILER OUTPUT ENERGY. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 47(2), 319-328. SID. https://sid.ir/paper/144392/en

Vancouver: Copy

AMID SAMA, MESRI GUNDOSHMIAN TARAHOM, SHAHGOLI GHOLAMHOSSEIN. A COMPARISON OF MLP AND RBF NEURAL NETWORKS PERFORMANCE FOR ESTIMATION OF BROILER OUTPUT ENERGY. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2016;47(2):319-328. Available from: https://sid.ir/paper/144392/en

IEEE: Copy

SAMA AMID, TARAHOM MESRI GUNDOSHMIAN, and GHOLAMHOSSEIN SHAHGOLI, “A COMPARISON OF MLP AND RBF NEURAL NETWORKS PERFORMANCE FOR ESTIMATION OF BROILER OUTPUT ENERGY,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 47, no. 2, pp. 319–328, 2016, [Online]. Available: https://sid.ir/paper/144392/en

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