The application of NIR and artificial neural network for Vc Yinqiao tablet nondestructive quantitative analysis were investigated. The choice of ANN inputting node number and ANN’s parameters affecting network were discussed , used Bayesian Regularization mode to train Bp Neural Network.With this mode ,the question of Bp Neural Network's weak stalility were resolved ,improved the forecasting precision of Neural Network. The experiment and the result of data process shows the application of Bp Neural Network In the nondestructive quantitative Analysis of Vc Yinqiao Tablets is effective and viable.
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白英奎,申铉国,丁 东.红外和神经网络无损分析VC 银翘片中二组分含量[J].激光与红外,2004,34(5):354~356 . Two-component Nondestructive Analysis of VC Yinqiao Tablets with NIR And Bp Neural Network[J]. LASER & INFRARED,2004,34(5):354~356