Predicting the Growth of Bacteria in Chilled Beef Based on Artificial Neural Networks

摘要：

This paper evaluates the growth of microbes in chilled beef using Artificial Neural Networks(ANN) method,which is implemented by Matlab 7.0 programming. ANN with three-layer is applied to predict the parameters of the modified Gompertz Model as a secondary model. Thus the bacterial growth curve under different packaging and storage conditions could be predicted through the learning processing of ANN. The comparison of predicting data with relative experiment data is presented,which prove the effectiveness of ANN modeling. The modeling of nonexperimental data is also presented to show the future application of neural network prediction method.

关键词： Artificial neural networks chilling beef predictive microbiology

作者: Haitao Xiao Bailin Li Xitao Zheng Jie Ou

作者单位: College of Food Science and Technology,Shanghai Ocean UniversityNo.999 HuCheng Circle Road,LinGang N College of Information Technology,Shanghai Ocean UniversityNo.999 HuCheng Circle Road,LinGang New Ci

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2674-2677

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）