| 小波变换人工神经网络测定复方药物多组分含量 |
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| 引用本文： | 颜杰,胡晓芳,文彬,朱林,刘世庆.小波变换人工神经网络测定复方药物多组分含量[J].沈阳药科大学学报,2000,17(6):422-423. |
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| 作者姓名： | 颜杰 胡晓芳 文彬 朱林 刘世庆 |
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| 作者单位： | 沈阳药科大学药学系沈阳 110015 1沈阳军区总医院检验科沈阳 110015 |
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| 摘 要： | 通地小波变换压缩数据 ,以压缩后的数据作为人工神经网络的输入 ,极大地加快了网络的收敛速度 .将该法应用于测定撒痛风注射液 ,结果良好 .3组分的平均回收率及相对标准偏差分别为 :10 0 1% ,1 43 % ;10 0 0 % ,0 5 0 % ;10 0 6 % ,1 76 % ,优于单纯人工神经网络 .
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| 关 键 词： | 人工神经网络 小波变换 撒痛风注射液 |
| 修稿时间： | 2000年4月24日 |
Multicomponent Determination of the Compound Pharmaceutical Preparations by the Wavelet Transform-artificial Neural Network |
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| Yan Jie,Hu Xiaofang,Wen Bin,Zhu Lin,Liu Shiqing.Multicomponent Determination of the Compound Pharmaceutical Preparations by the Wavelet Transform-artificial Neural Network[J].Journal of Shenyang Pharmaceutical University,2000,17(6):422-423. |
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| Authors: | Yan Jie Hu Xiaofang Wen Bin Zhu Lin Liu Shiqing |
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| Institution: | Yan Jie,Hu Xiaofang,Wen Bin,Zhu Lin,Liu Shiqing Department of Pharmacy,Shenyang Pharmaceutical University,Shenyang 110015 |
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| Abstract: | The data of UV-spectrum were compressed by wavelet transform,the compressed data were used as an input of artificial newral network.When the method was applied to determination of the Satongfen Injection,the convergent rate was improved.The mean recovery and relative standard deviation of the three components were 100 1%,1 43%,100 0%,0 50% and 100 6%,1 76% respectively.The results of this method are better than that of the artificial neural network. |
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| Keywords: | artificial neural network wavelet transform Satongfen Injection |
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