| 粉末药品磺胺甲基异噁唑的非破坏定量分析 |
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| 引用本文： | 郭晔,苟玉慧,任玉林,汤真,刘富强,田丽蓉.粉末药品磺胺甲基异噁唑的非破坏定量分析[J].吉林大学学报(理学版),2001(2):103-105. |
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| 作者姓名： | 郭晔 苟玉慧 任玉林 汤真 刘富强 田丽蓉 |
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| 作者单位： | 1. 吉林大学化学系,
2. 中国人民解放军第208医院, |
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| 摘 要： | 以磺胺甲基异唑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 ,进行粉末药品的非破坏定量分析 ,并对影响网络的各参数进行讨论 .
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| 关 键 词： | 人工神经网络(ANN) 近红外光谱 逼近度 磺胺甲基异噁唑 非破坏分析 |
| 文章编号： | 0529-0279(2001)02-0103-03 |
| 修稿时间： | 2000年6月27日 |
Nondestructive Quantitative Analysis of Sulfamethoxazole |
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| GUO Ye,GOU Yu-hui,REN Yu-lin.Nondestructive Quantitative Analysis of Sulfamethoxazole[J].Journal of Jilin University: Sci Ed,2001(2):103-105. |
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| Authors: | GUO Ye GOU Yu-hui REN Yu-lin |
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| Abstract: | The application of artificial neural network to pharmaceutical nondestructive quantitative analysis was investigated. The real data set from near infrared reflectance spectra of sulfamethoxazole poweder pharmaceutical were used to train artificial network to predict unknown samples. The parameters affecting the network were discussed. A new network evaluation criterion, the degree of approximation, was employed. |
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| Keywords: | artificial neural network(ANN) near infrared spectrophotometry degree of approximation sulfamethoxazole nondestructive analysis |
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