传感技术学报Issue(11)：1473-1477,5.DOI:10.3969/j.issn.1004-1699.2013.11.001
基于电子鼻技术的花椒品种鉴别方法研究
Study of Zanthoxylurn Bungeanum Varieties Discriminating Method by Electronic Nose Technology
摘要
Abstract
A fast discriminating mehtod of Zanthoxylurn Bungeanum varieties was studied. In the experiment,the order information of six Zanthoxylurn Bungeanum varieties were collected by the electrocinc nose system for investigation. The fifty-six groups training samples and thirty-two groups testing samples were obtained after feature extraction. The feature data were classified by the BP neural network,probabilistic neural network,and support vector machine respectively,and the rate of discrimination was 89. 58%,93. 23%,94. 27%. Compared to the BP neural network and probabilistic neural networks,support vector machine had better classification results. The electronic nose system developed in this paper had achieved the purpose of identifying Zanthoxylurn Bungeanum species non-destructively, rapidly and accurately, which provided a new way for agricultural products nondestructive testing research.关键词
电子鼻/BP网络/概率神经网络/支持向量机/花椒Key words
electronic nose/BP network/probabilistic neural network/support vector machine/Zanthoxylurn Bungeanum分类
信息技术与安全科学引用本文复制引用
吴莉莉,郑丹,郑宝周,林爱英,潘建斌..基于电子鼻技术的花椒品种鉴别方法研究[J].传感技术学报,2013,(11):1473-1477,5.基金项目
河南省教育厅科学技术研究重点项目(12A510014) （12A510014）
郑州市科技攻关项目(121PPTGG465-3) （121PPTGG465-3）
