| 粉末药品安体舒通的无损定量分析——人工神经网络－近红外光谱法的应用 |
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| 引用本文： | 汤真,刘福强,苟玉彗,郭晔,任玉林. 粉末药品安体舒通的无损定量分析——人工神经网络－近红外光谱法的应用[J]. 分析测试学报, 2001, 20(3): 62-64 |
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| 作者姓名： | 汤真 刘福强 苟玉彗 郭晔 任玉林 |
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| 作者单位： | 1. 中国人民解放军第 208医院药剂科,
2. 吉林大学化学系, |
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| 摘 要： | 研究了应用人工神经网络进行粉末药品的无损定量分析，使用安体舒通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，讨论了影响网络的各参数，使用了逼近度作为网络新的评价标准。
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| 关 键 词： | 人工神经网络 近红外光谱 逼近度 无损分析 安体舒通 粉末药品 药物分析 |
| 文章编号： | 1004－4957(2001)03－0062－03 |
| 修稿时间： | 2000-08-09 |
Nondestructive Quantitative Analysis of Spironolactone Pharmaceutical Powder by Artificial Neural Network and Near _ infrared Spectrometry |
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| TANG Zen,LIU Fu qiang,GOU Yu hui,GUO Ye,REN Yu lin. Nondestructive Quantitative Analysis of Spironolactone Pharmaceutical Powder by Artificial Neural Network and Near _ infrared Spectrometry[J]. Journal of Instrumental Analysis, 2001, 20(3): 62-64 |
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| Authors: | TANG Zen LIU Fu qiang GOU Yu hui GUO Ye REN Yu lin |
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| Abstract: | The application of artificial neural network for nondestructive quantitative pharmaceutical analysis were investigated. A real data set from near -infrared diffuse reflectance spectra of spironolactone pharmaceutical powder was used to built up an artificial neural network model 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 spectrometry Degree of approximation Nondestructive analysis Spironolactone |
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