title: [Chemical pattern recognition of traditional Chinese medicine kudingcha (II)].
abstract: In this paper, the HPLC data from 78 samples of Kudingcha were treated with back propagation algorithm of artifical neural network pattern recognition, and the computer-aided classification of Ilex cornuta Lindl., Ilex latifolia Thunb. and Ligustrum lucidum Ait. was accomplished. This paper provides a scientific, advanced and feasible method for identification of traditional Chinese medicine.
authors.affiliation: Guangdong College of Pharmacy, Guangzhou 510224.
authors.forename: W
authors.initials: W
authors.lastname: Su
authors.forename: Z
authors.initials: Z
authors.lastname: Wu
authors.forename: X
authors.initials: X
authors.lastname: He
authors.forename: J
authors.initials: J
authors.lastname: Chen
mesh_terms: D002851:Chromatography, High Pressure Liquid; D003627:Data Interpretation, Statistical; D004365:Drugs, Chinese Herbal / Q000032:analysis / Q000145:classification*; D030017:Ilex / Q000145:classification*; D031659:Ligustrum / Q000145:classification*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D018515:Plant Leaves / Q000145:classification; D013662:Tea
chemical_list: D004365:Drugs, Chinese Herbal; D013662:Tea