基于人工神经网络算法的电子鼻系统在食品无损检测中的应用

被引:14
作者
万赐晖 [1 ,2 ,3 ,4 ]
贾文珅 [2 ,3 ,4 ]
王纪华 [1 ,2 ,3 ,4 ]
吴楠京 [2 ,3 ,4 ]
机构
[1] 三峡大学计算机与信息学院
[2] 北京农业质量标准与检测技术研究中心
[3] 农业部农产品质量安全风险评估实验室(北京)
[4] 北京信息科技大学自动化学院
关键词
电子鼻; 神经网络算法; 应用; 无损检测;
D O I
10.13652/j.issn.1003-5788.2016.10.048
中图分类号
TS207.3 [食品分析与检验];
学科分类号
摘要
电子鼻技术是一门新兴的气体分析技术,因其具有响应速度快、检测时间短等优点而被广泛应用于医疗诊断、环境监测、农副产品与食品的检测中。文章首先介绍了几种常用神经网络算法的,并比较了不同算法的优缺点,然后重点介绍了基于人工神经网络算法的电子鼻系统在水果检测鉴别、肉制品检测、茶叶品质鉴定、乳制品、酒类等食品检测方面的应用,最后对电子鼻技术、ANN算法目前存在问题及发展趋势进行了阐述。
引用
收藏
页码:221 / 225
页数:5
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