传感技术学报2012，Vol.25Issue(5)：566-570,5.DOI:10.3969/j.issn.1004-1699.2012.05.002
基于电子鼻的香蕉储存时间鉴别方法研究
Investigation of Banana Storage Time Discriminating Method Using Electronic Nose
摘要
Abstract
Based on electronic nose,a predictive banana storage time method was been investigated. Experiments on banana samples of different storage time were conducted. The principle component analysis ( PCA) method discriminated different samples successfully. The microbial index was examined to investigate the relationship between electronic nose responses and microbial measurement results. Stochastic resonance signal-to-noise ratio (SNR) spectrum could also distinguished different samples. The storage time predicting model based on SNR features presented high predicting accuracy. This method was of good application value.关键词
电子鼻/香蕉储存时间/随机共振/信噪比分析Key words
electronic nose/banana storage time/stochastic resonance/signal-to-noise ratio analysis分类
信息技术与安全科学引用本文复制引用
惠国华,吴玉玲,陈裕泉..基于电子鼻的香蕉储存时间鉴别方法研究[J].传感技术学报,2012,25(5):566-570,5.基金项目
浙江省公益技术应用研究项目(2011C21051) （2011C21051）
国家自然科学基金项目(81000645) （81000645）
浙江省自然科学基金项目(Y1100150) （Y1100150）
浙江省大学生科技创新活动计划项目(2010R408015) （2010R408015）
浙江工商大学大学生创新项目(11-143,11-145,11-159) （11-143,11-145,11-159）
