食品工业科技2012，Vol.33Issue(6)：377-381,5.
基于BP神经网络的电子鼻羊奶贮藏时间的预测
Discrimination of fresh goat milk during storing based on electronic nose by BP neural network
摘要
Abstract
The classification of different storage time of fresh goat milk at ambient temperature and refrigerated temperature was detected by an electronic nose. The volatile composition emanating from the goat milk was sampled by PEN3 systems,and the response values of PEN3 were obtained.The data was analyzed using PCA （principal component analysis）and LDA （linear discrimination analysis）, the combination of a Levenberg- Marquardt algorithm and BP neural network （LM-BP）, the combination of a genetic algorithm and BP neural network（GANN） and 4 layer BP neural network.The results showed that electronic nose was able to classify fresh goat milk during 1-6d storing at ambient temperature and refrigerated temperature by PCA and LDA,however LDA showed variation trend of volatile composition clearly which had a great agreement with acidity of the samples. Better prediction values were obtained bv 4 laver BP neural network than GANN and LM-BP.关键词
电子鼻/羊奶/贮藏时间/温度/模式识别Key words
electronic nose/goat milk/storing time/temperature/pattern recognition分类
轻工纺织引用本文复制引用
张虹艳,丁武..基于BP神经网络的电子鼻羊奶贮藏时间的预测[J].食品工业科技,2012,33(6):377-381,5.基金项目
公益性行业科研专项经费项目 （）
西北农林科技大学校青年学术骨干支持计划. （）
