title: [Application of adaptive resonance theory network to the quality evaluation of radix Sophorae flavescentis].
abstract: ART1 and ART2 models of adaptive resonance theory network have been employed in quality evaluation of 40 Radix Sophorae Flavescentis samples collected from different regions of China. Based on the UV data of MeOH extract and IR data of CHCL3 extract, Shannon information theory has been used for feature selection. The results consist with those of traditional appraisal.
authors.affiliation: Beijing University of Traditional Chinese Medicine.
authors.forename: X
authors.initials: X
authors.lastname: Wang
authors.forename: J
authors.initials: J
authors.lastname: Li
authors.forename: L
authors.initials: L
authors.lastname: Wei
authors.forename: L
authors.initials: L
authors.lastname: Zhang
authors.forename: D
authors.initials: D
authors.lastname: An
mesh_terms: D004365:Drugs, Chinese Herbal / Q000737:chemistry; D007887:Fabaceae / Q000737:chemistry; D016571:Neural Networks, Computer; D010946:Plants, Medicinal; D011786:Quality Control; D013056:Spectrophotometry, Ultraviolet; D017550:Spectroscopy, Fourier Transform Infrared
chemical_list: D004365:Drugs, Chinese Herbal