An Artificial Neural Network Model for Chilling Environment Control in Meat Production

摘要

In this study, artificial neural network with a supervised learning algorithm called vectorquantized temporal associative memory (VQTAM) is proposed to estimate chilled weight loss during chilling process of pig slaughtering plant. Four models based on carcass weights are developed. The results show that the proposed algorithms can accurately predict chilled weight loss with an error rate of less than 5% on average. The models are also employed to determine the suitable chilling times for each weight class.