title: [A new linear neural network multi-component analysis method and its application in the analysis of VC yinqiao tablets quantitative analysis].
abstract: We measured NIR spectrum of VC yinqiao tablets with spectral instrument, analyzed the contents of acetaminophen and vitamin C in the VC yinqiao tablets with principal component analysis (PCA) and Linear Neural Network, and discussed the choice of principal component number and ANN's parameters affecting the network. To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network. Compared with other two data process methods, the experiment and the result of data process showed that the PCA-linear neural network possess the best forecasting precision.
authors.affiliation: Jilin University, College of Communication Engineering, Changchun 130025, China.
authors.forename: Ying-kui
authors.initials: YK
authors.lastname: Bai
authors.forename: Xuan-guo
authors.initials: XG
authors.lastname: Shen
authors.forename: Yi
authors.initials: Y
authors.lastname: Feng
authors.forename: Tie-qiang
authors.initials: TQ
authors.lastname: Zhang
authors.forename: Fang
authors.initials: F
authors.lastname: Huang
mesh_terms: D000082:Acetaminophen / Q000032:analysis; D001205:Ascorbic Acid / Q000032:analysis*; D004365:Drugs, Chinese Herbal / Q000032:analysis* / Q000737:chemistry; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013607:Tablets; D013678:Technology, Pharmaceutical / Q000379:methods
chemical_list: D004365:Drugs, Chinese Herbal; D013607:Tablets; C530031:yinqiao; D000082:Acetaminophen; D001205:Ascorbic Acid