BP人工神经网络对庄河大骨鸡剩余保质期的预测  

Shelf life prediction for Zhuanghe Dagu chicken based on BP artificial neural network

作　　者：王琦 崔妍 梁健健 薛伟锋 WANG Qi;CUI Yan;LIANG Jianjian;XUE Weifeng(Technology Centre of Dalian Customs,Dalian Liaoning,116000,China)

机构地区：[1]大连海关技术中心,辽宁大连116000

出　　处：《质量安全与检验检测》2023年第6期86-90,共5页QUALITY SAFETY INSPECTION AND TESTING

基　　金：辽宁省自然科学基金博士启动基金项目(2019-BS-008);辽宁省自然科学基金面上项目(2023-MS-349)。

摘　　要：建立了基于BP人工神经网络预测庄河大骨鸡保质期的新方法。以存放温度、感官得分、汁液流失率、菌落总数和挥发性盐基氮作为模型输入层,剩余保质期作为模型输出层,建立大骨鸡BP人工神经网络剩余保质期预测模型。结果显示,采用BP人工神经网络模型预测大骨鸡在4℃~30℃下剩余保质期的误差为0%~7.7%。BP人工神经网络模型能够比较准确地预测大骨鸡的剩余保质期,该模型比文献中使用的全面稳定性指数模型具有更高的精度。A new predictive method based on BP artificial neural network was established for Zhuanghe Dagu chicken.BP artificial neural network was employed to predict the remaining shell life of Zhuanghe Dagu chicken,with storage temperature,sensory score,drip loss,total aerobic counts and volatile base nitrogen as model input layer and remaining shell life as corresponding output layer.The results show that error of remaining shell life of Zhuanghe Dagu chicken was calculated to be 0%-7.7%at 4℃-30℃based on BP artificial neural network model.BP artificial neural network model can accurately predict the remaining shelf life of Zhuanghe Dagu chicken,which is more accurate than the global stability index model employed in the literature.

关 键 词：庄河大骨鸡 剩余保质期 人工神经网络 

分 类 号：S8-05[农业科学—畜牧兽医]