传感技术学报Issue(12)：1741-1746,6.DOI:10.3969/j.issn.1004-1699.2015.12.001
基于单类支持向量机的电子鼻在白酒真假识别中的应用
Application of Electronic Nose in True-Fake Chinese Liquors Recognition Based on One-Class SVM
摘要
Abstract
Aimed at the imbalanced number between the true and fake Chinese liquor samples(normal and abnor⁃mal samples)and the lack of abnormal sample categories in truecfake Chinese liquor recognition by multi-class classification,a true-fake recognition method using one-class SVM(Support Vector Machine)to train a one-class classifier for each brand of liquor is put forward. Firstly,a self-designed electronic nose system was used to sample different brands of liquor. Secondly,after data pre-processing,feature generation and feature reduction in turn,the data sampled from the sensor array was transformed into test samples of classification. Thirdly,the optimal parame⁃ters for each one-class classifier were found by grid-search. Finally,each one-class classifier was tested on the true-fake recognition effect by the corresponding samples. The true-fake recognition rate of one-class classifiers ranges from 93%to 98%,which indicates that the self-designed electronic nose system combined with one-class SVM has a good performance of true-fake Chinese liquor recognition.关键词
电子鼻/白酒/真假识别/单类支持向量机Key words
electronic nose/Chinese liquors/true-fake recognition/one-class SVM分类
信息技术与安全科学引用本文复制引用
周宇,孟庆浩,亓培锋,井雅琪,曾明..基于单类支持向量机的电子鼻在白酒真假识别中的应用[J].传感技术学报,2015,(12):1741-1746,6.基金项目
国家自然科学基金项目（61271321，61473207，61401303）；教育部博士点基金项目（20120032110068）；天津市科技支撑计划项目 （）
