摘要
研究了应用人工神经网络进行粉末药品的非破坏定量分析。使用阿斯匹林粉末药品的近红外漫反射一阶导数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 ,使用了新的网络评价标准 -逼近度。
Application of artificial neural network for pharmaceutical nondestructive quantitative analysis was investigated.A real data set from near infrared reflectance spectra of aspirin used to build up artificial network to predict unknown samples .The parameters affecting network were discussed. A new network evaluation parameter,degree of approximation, was employed.
出处
《分析试验室》
CAS
CSCD
北大核心
2001年第1期79-81,共3页
Chinese Journal of Analysis Laboratory
关键词
人工神经网络
近红外一阶导数光谱
阿司区林
定量分析
Artificial neural network (ANN)
Near infrared spectrophotometry
Degree of approximation
Aspirin
