摘要
近年来,国内外许多学者都在探索能够准确客观的评价中药质量的新方法,随着计算机技术的发展,模式识别技术在众多的方法中脱颖而出,成为目前评价中药质量,进行中药品种分类最科学有效的方法之一。本文着重介绍了化学模式识别技术的基本原理和方法,以及它的几种常用技术,如聚类分析法、判别分析法、主成分分析法和人工神经网络技术在中药品种分类和质量评价中的作用。
In recent years, many scholars at home and abroad all look for some new methods, which can accurately and objectively assess the quality of the Chinese traditional medicine. With the development of the computer,pattern recognition technology comes to the fore in many methods and becomes the most scientifical and effective method at present. It can assess and classify the quality of the Chinese traditional medicine. The article mainly introduce the basic principle, the methods of chemical pattern recognition and some common technologys ,which can act on the classification and quality assessment of Chinese traditional medicine,such as cluster analysis, discriminant analysis, principle component analysis and artificial neural network.
出处
《中华中医药学刊》
CAS
2007年第10期2111-2114,共4页
Chinese Archives of Traditional Chinese Medicine
基金
江苏省方剂重点实验室开放项目(022021014010)
关键词
中药品种分类
中药质量评价
化学模式识别
classification of Chinese traditional medicine
quality assessment of Chinese traditional medicine
chemical pattern recognition
