Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg‐Type Pullets
Key Points
The research aims to analyze how metabolizable energy intake affects body weight gain in egg-type pullets using different models.
Utilized artificial neural networks and a monomolecular model to analyze data.
Measured metabolizable energy intake in egg-type pullets.
Calculated body weight gain over a specified period.
Both models effectively described the relationship between energy intake and weight gain.
Indicated that increased energy intake leads to higher body weight gain in pullets.
Abstract
This study demonstrated that both the monomolecular model and ANN approaches effectively described the relationship between ME intake and BWG in egg-type pullets.
Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg‐Type Pullets | Synapse