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人工神经网络应用于光谱分析同时测定增效联磺片三组分含量
引用本文:严拯宇 王朝晖. 人工神经网络应用于光谱分析同时测定增效联磺片三组分含量[J]. 分析科学学报, 1999, 15(4): 297-301
作者姓名:严拯宇 王朝晖
作者单位:[1]中国药科大学分析化学教研室 [2]华中师范大学
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增效联磺片中的三个组分含量不经分离可同时进行测定。磺胺嘧啶(SD)、磺胺甲恶唑(SMP)、甲氧苄胺嘧啶(TMP)的平均回收率分别为103.1%、98.21%、98.76%。探讨了人工神经网络中网络参数对分析结果的影响。

关 键 词:测定 磺胺嘧啶 磺胺甲基异恶唑 甲氧苄胺嘧啶

Simultaneous Determination of Multi|Component of Zengxiao Lianhuang Tablet by Using Artificial Nerual Network|Spectrophotometry
Yan Zhengyu+,Wang Zhaohui+,Jiang Xinmin+++,Zhang Shenghua+. Simultaneous Determination of Multi|Component of Zengxiao Lianhuang Tablet by Using Artificial Nerual Network|Spectrophotometry[J]. Journal of Analytical Science, 1999, 15(4): 297-301
Authors:Yan Zhengyu+  Wang Zhaohui+  Jiang Xinmin+++  Zhang Shenghua+
Affiliation:Yan Zhengyu+1,Wang Zhaohui+2,Jiang Xinmin+1++*,Zhang Shenghua+1
Abstract:The application of artificial neural network|spectrophotometry in simultaneously determinating multi|component of Zengxiao Lianhuang Tablet is described in this paper. The proposed method is used for determination of three components (SD,SMZ,TMP) and their average recoveries are 103.1% (SD) , 98.21% (SMZ) and 98.76% (TMP) respectively. The effect of the network parameters on the analytical results are dicussed .The results show that the method is accurate and the network performs satifactorily.
Keywords:Artificial nerual network  Back|propagation   Sulfadiazine   Sulfamethoxazole   Trimethoprim
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