广东工业大学学报Issue(3)：91-96,6.DOI:10.3969/j.issn.1007-7162.2015.03.017
一种基于电子鼻的辛味中药材的分类鉴别方法研究
Classification of Pungent Chinese Herbals by Using Electronic Nose
摘要
Abstract
In this approach, the intelligent portable electronic nose with a gas sensor array containing ten gas sensors was used to collect the odor information of different varieties of pungent Chinese herbals.In order to get a new sensor data processing solution to pattern recognition of the Chinese herbals accurately, a manifold algorithm named Locally Linear Embedding( LLE) was used to finish the dimensionality reduc-tion and feature extraction of the odor data.And then the Fisher Linear Discriminant Analysis( LDA) was adopted to complete the identification via clustering.After many times of experiments to optimize the pa-rameters of LLE, the classification results are quite perfect.The results demonstrate that by using this new combined method, the electronic nose can not only distinguish 6 types of Chinese herbals, but also i-dentify the 3 different batches and the 3 different denominations of origin accurately, which provides a new method for further analysis.关键词
模式识别/气敏传感器/局部线性嵌入_线性判别分析/分类鉴别/非线性降维Key words
pattern recognition/gas sensors/locally linear embedding_linear discriminant analysis( LLE_LDA)/classification/nonlinear dimensionality reduction分类
信息技术与安全科学引用本文复制引用
范丹君,骆德汉,于昊..一种基于电子鼻的辛味中药材的分类鉴别方法研究[J].广东工业大学学报,2015,(3):91-96,6.基金项目
广东省自然科学基金重点资助项目 （）
