重庆大学学报：自然科学版2012，Vol.35Issue(9)：157-162,6.
可视化仿生鼻对五小香型白酒的识别
Identification of different aromatic Chinese liquors by colorimetric artificial nose
摘要
Abstract
A potential instrument, the colorimetric nose, is developed to identify the fragrances of five different Chinese liquors. Firstly, in order to minimize error, the RGB values of the raw data are preprocessed using a threshold before further analysis. The output of the artificial nose is then analyzed by hierarchical routing cluster analysis (HCA), principal component analysis (PCA) and support vector machine (SVM). It is found that HCA can perform correctly classify fragrances into five different classes. However, using the first three components identified by PCA analysis, representing 80. 790//oo of the variance, the five individual fragrances can be reliably distinguished. Finally, it also shows that the five constituent fragrant liquors can also be reliably classified with 100% accuracy by SVM. These results show that the colorimetric artificial nose, a simple and efficient detection and identification tool, has great potential to identify different constituent fragrant liquors reliably well.关键词
可视化仿生鼻/香型/支持向量机/白酒识别Key words
colorimetric artificial nose/fragrances/support vector machine (SVM)/liquor identification分类
轻工业引用本文复制引用
罗小刚,张亚,侯长军,易彬,霍丹群,赵飞翔..可视化仿生鼻对五小香型白酒的识别[J].重庆大学学报：自然科学版,2012,35(9):157-162,6.基金项目
基金项目：国家自然科学基金资助项目 （）
中央高校基本科研业务费资助项目 （）
四川省重点实验室开放基金资助项目 （）
重庆市科委攻关项目 （）
