title: [Study on the determination of contents of Zn, Cu and Co by using artifical neural network and ultraviolet spectrum].
abstract: By means of artificial neural network and back-propagation train algorithm, the three-component metal coordinate compounds of PAR-Zn, Cu, Co were determined simultaneously, in which the spectra overlapped. In 580-440 nm, the absorbance(A) at 14 wavelength were taken as character parameter of artificial neural network, and samples were arranged by method of uniformity design. The mean recovery of Zn, Cu, Co were 95.22%, 95.98% and 100.5%. The experiment results show that the determination is accurate, and the method has good performance.
authors.affiliation: Department of Analytical Chemistry, China Pharmaceutical University, 210009 Nanjing.
authors.forename: Z
authors.initials: Z
authors.lastname: Yan
authors.forename: X
authors.initials: X
authors.lastname: Jiang
authors.forename: S
authors.initials: S
authors.lastname: Zhang
mesh_terms: D003035:Cobalt / Q000032:analysis*; D003300:Copper / Q000032:analysis*; D016571:Neural Networks, Computer; D012996:Solutions; D013056:Spectrophotometry, Ultraviolet / Q000379:methods; D015032:Zinc / Q000032:analysis*
chemical_list: D012996:Solutions; D003035:Cobalt; D003300:Copper; D015032:Zinc