食品与发酵工业2018，Vol.44Issue(3)：230-234,5.DOI:10.13995/j.cnki.11-1802/ts.016018
基于流速调制的电子鼻系统开发及其在黄酒酒龄分类中的应用
The development of electronic nose system based on flow modulation and its application in the wine age classification of the Chinese yellow wine
摘要
Abstract
An electronic nose system based on flow modulation in the case of variable flow rates was designed herein to improve the recognition accuracy and shorten the detection time.The gas response range of sensors to different components and concentrations was maximized by changing the intake flow rate.The age of Chinese yellow wine was classified through adaptive principal component analysis(AD-PCA)to verify this system.The results from ADPCA were compared with those from support vector machine (SVM)and back-propagation neural network (BPNN).The experimental results showed that among these 5 different ages of Chinese yellow wine,the average correct classification rate of AD-PCA was 93.6％,and that of SVM and BPNN was 92％ and 100％,respectively.It was proved that the system could quickly classify the wine age on the basis of a higher accuracy rate,and can shorten the detection time compared with the fixed flow rate.关键词
黄酒/电子鼻/模式识别/流速调制Key words
Chinese yellow wine/electronic nose/pattern recognition/flow modulation引用本文复制引用
钱曙,邢建国,王雨,程辉..基于流速调制的电子鼻系统开发及其在黄酒酒龄分类中的应用[J].食品与发酵工业,2018,44(3):230-234,5.基金项目
浙江省科技厅公益项目(2016C32G2050021) （2016C32G2050021）
浙江省大学生科技创新活动计划项目(2016R408079) （2016R408079）
