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人工神经网络紫外吸收光谱法测定安钠咖注射液各组分 被引量:4

Determination of Caffeine Sodium Benzoate Injection Contents By using Artificial Nerual Network Speetrophotometry
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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
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