title: [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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Chemical pattern recognition, pattern recognition of stereoscopic features and artificial neural networks are of important use in quality assessment of material medica.
authors.affiliation: Institute of Chinese Material Medica, China Academy of Traditional Chinese Medicine, Beijing 100700, China. zyxmymail@163.com
authors.forename: Yu-xin
authors.initials: YX
authors.lastname: Zhao
authors.forename: Man-ling
authors.initials: ML
authors.lastname: Li
mesh_terms: D004365:Drugs, Chinese Herbal / Q000737:chemistry / Q000302:isolation & purification / Q000592:standards; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D010598:Pharmacognosy; D010946:Plants, Medicinal / Q000033:anatomy & histology / Q000737:chemistry; D011786:Quality Control
chemical_list: D004365:Drugs, Chinese Herbal