人工神经网络在无菌包装系统包装材料杀菌效果评估的应用  

Application of Artificial Neural Network to Evaluate the Safety of Sterilization in Aseptic Packaging System

作　　者：徐胜[1] 张金泽[1] 薛毅[1] 

机构地区：[1]中国食品发酵工业研究院

出　　处：《食品与发酵工业》2006年第3期55-59,共5页Food and Fermentation Industries

摘　　要：人工神经网络是一种新型的数学工具,其特有的自学习和联想记忆功能,能够解决影响因素复杂、难以列出准确的公式表达的问题。文中探讨了应用人工神经网络对无菌包装系统包装材料杀菌效果的评估情况。以过氧化氢杀菌介质的系统为对象进行研究,结果显示,训练好的神经网络可以较好地预测过氧化氢杀菌介质的系统的杀菌能力。Artificial Neural Network（ANN） is a new type of mathematical tool, having the ability of selflearning and intelligence, Therefore, it can be used to settle the problem of complex and non-liner relationship. This paper introduced ANN to evaluation of the safety of sterilization in aseptic packaging system. Take the system of hydrogen peroxide sterilization for example, the results using ANN show that the neural network can be used in evaluate and predict the sterilization ability of the system using hydrogen peroxide in aseptic packaging system.

关 键 词：人工神经网络 无菌包装 包装材料 杀菌 评估 

分 类 号：TB484[一般工业技术—包装工程]