| 人工神经网络-近红外光谱法用于粉末药品扑热息痛的非破坏定量分析 |
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| 引用本文： | 任瑞雪,汤真,刘福强,苟玉彗,任玉林.人工神经网络-近红外光谱法用于粉末药品扑热息痛的非破坏定量分析[J].光谱学与光谱分析,2001,21(4):521-523. |
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| 作者姓名： | 任瑞雪 汤真 刘福强 苟玉彗 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非破坏定量分析，使用扑热息痛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，采用逼近度作为网络新的评价标准，由于人工神经网络好的非线性的多变量校正特点，预测结果是准确的。
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| 关 键 词： | 人工神经网络 药物分析 近红外光谱 逼近度 扑热息痛 非破坏分析 定量分析 |
| 修稿时间： | 2000年8月4日 |
Nondestructive Quantitative Analysis of Paracetamoli Powder Pharmaceutical by Artificial Neural Network and Near-Infrared Spectroscopy |
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| R Ren,Z Tang,F Liu,Y Gou,Y Ren.Nondestructive Quantitative Analysis of Paracetamoli Powder Pharmaceutical by Artificial Neural Network and Near-Infrared Spectroscopy[J].Spectroscopy and Spectral Analysis,2001,21(4):521-523. |
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| Authors: | R Ren Z Tang F Liu Y Gou Y Ren |
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| Institution: | 208th Hospital, 130061 Changchun. |
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| Abstract: | The application of artificial neural network for pharmaceutical nondestructive quantitative analysis were investigated.Real data set from near infrared reflectance spectra of Paracetamoli powder pharmaceutical were used to build up artificial network to predict unknown samples.The parameters affecting network were discussed.A new network evaluation criterion,the degree of approximation,was employed.Owing to good nonlinear multivariate calibration nature of ANN,the predicted results was reliable. |
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| Keywords: | Artificial neural network (ANN) Near infrared spectrophotometry Degree of approximation Paracetamoli nondestractive analysis |
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