What question did this study set out to answer?

To compare the predictive performance of the Gompertz nonlinear regression equation against artificial neural network models in predicting broiler growth.

April 1, 2006Poultry ScienceOpen Access

Comparison of Gompertz and nEural Network Models of Broiler Growth

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To compare the predictive performance of the Gompertz nonlinear regression equation against artificial neural network models in predicting broiler growth.
Daily body weights were gathered from 25 male Ross x Ross 308 chicks raised to 70 days under standard diets, analyzing average weights from 18 birds.
Alternate-day weights were used as training data, while the remaining days served as validation data to compare Gompertz regression and neural network models developed with Neuroshell Predictor.
Model accuracy was evaluated using mean square error (MSE), mean absolute deviation (MAD), mean absolute percentage error (MAPE), and directional bias.
For training data, the neural-developed neural network demonstrated the lowest MSE, MAD, MAPE, and bias.
For validation data, the genetic algorithm-developed neural network achieved the lowest MSE and MAD, while the neural-developed network achieved the lowest bias.
The Gompertz equation consistently underestimated body weights, whereas neural network architectures showed little to no overestimation.

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Implication

Comparative modeling study demonstrates superior predictive accuracy of artificial neural networks over the Gompertz equation in broilers, suggesting practical utility in forecasting animal growth.

Cite This Study

Roush et al. (2006) studied this question.

synapsesocial.com/papers/69fd8183ea4a61241c5d2642 https://doi.org/10.1093/ps/85.4.794

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Implication

Comparative modeling study demonstrates superior predictive accuracy of artificial neural networks over the Gompertz equation in broilers, suggesting practical utility in forecasting animal growth.

Comparison of Gompertz and nEural Network Models of Broiler Growth

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Discussion

Implication

Cite This Study

Comparison of Gompertz and nEural Network Models of Broiler Growth

Key Points

Discussion

Implication

Cite This Study

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