摘要
应用人工神经网络原理,采用误差反向传播方法,对紫外吸收光谱重叠的安钠咖注射液中咖啡因和苯甲酸钠含量进行测定.实验表明,人工神经网络法对上述两组分含量测定结果准确,探讨了人工神经网络参数对分析结果的影响.
By the means of back propagation train algorithm,the principle of artificial neural network has been applided to determine caffeine sodium benzoate injection which spectrums are mixtured. The results show that the determination of medicine contents by using artificialneural net work-Spectrophotometry is accurate . The characteristics of artificial neural network are very good.The effect of the network references on the results are discussed.
出处
《分析科学学报》
CAS
CSCD
1998年第1期27-30,共4页
Journal of Analytical Science
关键词
ANN
吸收光谱
咖啡因
苯甲酸钠
安钠咽注射液
Artificial nerual network, Spectoscopic Analysis, Caffeine, Sodium benzoate