title: [Nondestructive quantitative analysis of Paracetamoli powder pharmaceutical by artificial neural network and near-infrared spectroscopy].
abstract: The application of artificial neural network for pharmaceutical nondestructive quantitative analysis were investigated. Real data set from near infrared reflectance spectra of Paracetamoli powder pharmaceutical were used to build up artificial network to predict unknown samples. The parameters affecting network were discussed. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.
authors.affiliation: 208th Hospital, 130061 Changchun.
authors.forename: R
authors.initials: R
authors.lastname: Ren
authors.forename: Z
authors.initials: Z
authors.lastname: Tang
authors.forename: F
authors.initials: F
authors.lastname: Liu
authors.forename: Y
authors.initials: Y
authors.lastname: Gou
authors.forename: Y
authors.initials: Y
authors.lastname: Ren
mesh_terms: D000082:Acetaminophen / Q000032:analysis*; D000465:Algorithms; D018712:Analgesics, Non-Narcotic / Q000032:analysis*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D004364:Pharmaceutical Preparations / Q000032:analysis*; D011208:Powders; D012680:Sensitivity and Specificity; D019265:Spectroscopy, Near-Infrared
chemical_list: D018712:Analgesics, Non-Narcotic; D004364:Pharmaceutical Preparations; D011208:Powders; D000082:Acetaminophen