| 概率神经网络及FAAS在植物药分类研究中的应用 |
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| 引用本文： | 高锦红,祝保林,王秋亚,李吉锋.概率神经网络及FAAS在植物药分类研究中的应用[J].光谱实验室,2011,28(1):128-131. |
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| 作者姓名： | 高锦红 祝保林 王秋亚 李吉锋 |
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| 作者单位： | 渭南师范学院化学化工系; |
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| 基金项目： | 渭南师范学院专项科研资助项目(08YKZ002);(10YKS010);(10YKS015) |
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| 摘 要： | 用火焰原子吸收法（FAAS）测定了植物药中Fe、Mg、Mn、Cu、Zn和Ca元素的含量,采用主成分分析法对所测数据进行预处理,结合概率神经网络模型对中药功效类别进行识别预测研究,取得了较满意的结果。
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| 关 键 词： | 概率神经网络 主成分分析 预测与识别 |
Application of the Recognition of Chinese Herbal Medicine by Probabilistic Neural Network and FAAS |
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| GAO Jin-Hong,ZHU Bao-Lin,WANG Qiu-Ya,LI Ji-Feng.Application of the Recognition of Chinese Herbal Medicine by Probabilistic Neural Network and FAAS[J].Chinese Journal of Spectroscopy Laboratory,2011,28(1):128-131. |
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| Authors: | GAO Jin-Hong ZHU Bao-Lin WANG Qiu-Ya LI Ji-Feng |
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| Institution: | GAO Jin-Hong ZHU Bao-Lin WANG Qiu-Ya LI Ji-Feng(Department of Chemistry and Chemical Engineering,Weinan Normal College,Weinan,Shaanxi 714000,P.R.China) |
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| Abstract: | The method of FAAS was applied to determine the contents of Fe,Mg,Mn,Cu,Zn and Ca in Chinese herbal medicines.Pretreated the measured data with principal component analysis,combined with network model of probabilistic neural network,effectiveness of Chinese herbal medicine was predicted,and the results was satisfacting. |
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| Keywords: | Probabilistic Neural Network Principal Component Analysis Prediction and Identification |
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