摘要
研究了应用人工神经网络进行粉末药品的无损定量分析。使用安体舒通粉末药品的近红外漫反射光谱数据建立人工神经网络模型 ,预测未知样品。讨论了影响网络的各参数 。
The application of artificial neural network for nondestructive quantitative pharmaceutical ana_lysis were investigated. A real data set from near _ infrared diffuse reflectance spectra of spironolactone pharmaceutical powder was used to built up an artificial neural network model to predict unknown samples. The parameters affecting the network were discussed. A new network evaluation criterion, the degree of approximation, was employed.
出处
《分析测试学报》
CAS
CSCD
北大核心
2001年第3期62-64,共3页
Journal of Instrumental Analysis
关键词
人工神经网络
近红外光谱
逼近度
无损分析
安体舒通
粉末药品
药物分析
Artificial neural network(ANN)
Near _ infrared spectrometry
Degree of approximation
Nondestructive analysis
Spironolactone
