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  

ANN-based electronic nose system in the application of food nondestructive testing

作　　者：万赐晖 贾文珅[2,3,4] 王纪华 吴楠京 WAN Ci-hui JIA Wen-shen WANG Ji-hua WU Nan-jing(College of Computer and Information Technology, China Three Gorges University, Yichang , Hubei 443002, China Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097 ,China Department of Risk Assessment Lab for Agro-products（Beijing ）, Ministry of Agriculture.P.R.China, Beijing 100097, China College of Automation, Beijing Information Science ~ Technology University, Beijing 100192, China)

机构地区：[1]三峡大学计算机与信息学院,湖北宜昌443002 [2]北京农业质量标准与检测技术研究中心,北京100097 [3]农业部农产品质量安全风险评估实验室(北京),北京100097 [4]北京信息科技大学自动化学院,北京100192

出　　处：《食品与机械》2016年第10期221-225,共5页Food and Machinery

基　　金：北京市农林科学院青年基金(编号:QNJJ201630)

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。Electronic nose technique is a kind of emerging technology in gas analysis and has been widely applied in agricultural products and food testing, due to the advantages of its rapid response in a short time. In this paper, a number of ANN algorithm were illumi nated, and the applications of ANN-based electronic nose system in destructive testing of fruit, meal, tea, milk and wine etc. were reviewed. Finally, the shortcomings of electronic nose technique and ANN algorithm and＂ the development trend of them were also discussed.

关 键 词：电子鼻 神经网络算法 应用 无损检测 

分 类 号：TS207.3[轻工技术与工程—食品科学]