[Application of pattern recognition to quality assessment of the traditional Chinese medicine].

Abstract

OBJECTIVE To review the application of the pattern recognition to quality assessment of the Chinese Traditional Medicine. METHOD Papers of application of chemical pattern recognition, pattern recognition of stereoscopic features and artificial neural networks to quality assessment of the Chinese Traditional Medicine were collected and the application of different method was reviewed. RESULT IR, UV, GC, GC-Mass and the sum mass spectra were used to evaluate the chemical character of different samples, and the microscopic features of the epidermis were scored quantitatively by stereology and image analysis on the basis of classical taxonomy,. BP networks were also widely used. CONCLUSION Chemical pattern recognition, pattern recognition of stereoscopic features and artificial neural networks are of important use in quality assessment of material medica.

Cite this paper

@article{Zhao2002ApplicationOP, title={[Application of pattern recognition to quality assessment of the traditional Chinese medicine].}, author={Yuxin Zhao and Man-ling Li}, journal={Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica}, year={2002}, volume={27 11}, pages={808-11} }