Nondestructive quantitative analysis of trimethoprim powder pharmaceuticalby artificial neural network and near-infrared spectroscopy

The application of artificial neural network for pharmaceutical nondestruct ive quantitative analysis was investigated. The real data set from near inf rared reflectance spectra of trimethoprim powder pharmaceutical were used t o built up artificial network to predict unknown samples. The factors affec ting network were discussed. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calib ration nature of ANN, the predicted result was reliable.