[Application of artificial neural network to simultaneous spectrophotometric determination of Cu, Co and Ni].
By means of artificial neural network and Levenberg-Marquardt back-propagation train algorithm, the three-component metal coordinate compounds of PAR-Cu, Co, Ni were determined simultaneously, in which the spectra overlapped. In 452-552 nm, the absorbance(A) at 14 wavelength were taken as character of artificial neural network, and samples were arranged by method of orthogonal design. The mean recovery of Cu, Co, Ni were 99.96%, 99.99% and 99.97% respectively. The RSD of the results were 0.1%, 0.2% and 0.1% respectively. The results were better than those of other networks in training speed and the accuracy. In conclusion, the new network spectrophotometry is a good choice for resolving multicomponent.
He
C Y
CY
Department of Chemistry, Anqing Normal College, Anqing 246011, China.
Sun
Y M
YM
Wu
G H
GH
Chen
R
R
D003035:Cobalt / Q000032:analysis*; D003300:Copper / Q000032:analysis*; D016571:Neural Networks, Computer; D009532:Nickel / Q000032:analysis*; D013056:Spectrophotometry, Ultraviolet / Q000379:methods
D003035:Cobalt; D003300:Copper; D009532:Nickel