[1]陈惠勤,骆德汉. 基于扩散映射和LDA的辛味中药材鉴别研究[J].计算机技术与发展,2015,25(05):192-195.
　CHEN Hui-qin,LUO De-han. Research on Classification of Pungent Chinese Herbal Medicines Based on Diffusion Maps and LDA[J].,2015,25(05):192-195.
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 基于扩散映射和LDA的辛味中药材鉴别研究()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年05期
页码:
192-195
栏目:
应用开发研究
出版日期:
2015-05-10

文章信息/Info

Title:
 Research on Classification of Pungent Chinese Herbal Medicines Based on Diffusion Maps and LDA
文章编号:
1673-629X（2015)05-0192-04
作者:
 陈惠勤; 骆德汉
 广东工业大学 信息工程学院
Author(s):
 CHEN Hui-qin ; LUO De-han
关键词:
 ; 电子鼻; 辛味中药材; 扩散映射; 线性判别分析; 分类鉴别
Keywords:
 ; Electronic nose ( E-nose) ; pungent Chinese herbal medicines;  Diffusion Maps;  LDA;  classification and identification
分类号:
TP212.9
文献标志码:
A
摘要:
 使用PEN3电子鼻对不同种类的辛味中药材进行检测，针对辛味中药材气味数据的高维性与非线性，提出一种基于扩散映射( Diffusion Maps)和线性判别分析( LDA)的中药材鉴别方法。首先将采集的气味数据重构到高维空间中，利用扩散映射方法对高维气味数据进行降维和特征提取，然后利用线性判别分析对提取的低维流形特征进行分类，以可视化的方式显示中药材的分类效果。结果表明，该方法可以很好地区分四种不同种类的辛味中药材，为中药材的分类鉴别提供了一条新的途径。
Abstract:
 An Electronic nose ( E-nose) was employed to collect the smell print of different kinds of pungent Chinese herbal medicines. For the high-dimensional and nonlinear of odor data,propose a method based on Diffusion Maps and LDA for the identification of pun-gent Chinese herbal medicines. Firstly,the collected odor data was reconstructed to the high-dimensional space,using the Diffusion Maps algorithm to extract the low-dimensional manifold features embedded in the high-dimensional odor data. Then the LDA algorithm was employed to implement a linear classifier. The results show that the combination of Diffusion Maps and LDA algorithm can well distin-guish four different kinds of pungent Chinese herbal medicines,which provides a new way for the classification and identification of Chi-nese herbal medicines.

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更新日期/Last Update: 2015-07-27