乔延江, 王玺, 毕开顺, 罗旭. 人工神经网络在中药蟾酥化学模式识别特征提取中的应用J. 药学学报, 1995, 30(9): 698-701.
引用本文: 乔延江, 王玺, 毕开顺, 罗旭. 人工神经网络在中药蟾酥化学模式识别特征提取中的应用J. 药学学报, 1995, 30(9): 698-701.
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YJ Qiao, X Wang, KS Bi , X Luo, . APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS J. Acta Pharmaceutica Sinica, 1995, 30(9): 698-701.
Citation: YJ Qiao, X Wang, KS Bi , X Luo, . APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS J. Acta Pharmaceutica Sinica, 1995, 30(9): 698-701.
shu

人工神经网络在中药蟾酥化学模式识别特征提取中的应用

APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS

    摘要
  • 摘要: 用对称的三层BP人工神经网络处理中药化学模式识别数据,既达到了提取特征和降维映射的目的,又减少了每引入一个样本重新计算各样本空间距离和分布的麻烦。提取的特征及相应误差用三维图形表示,可直接用于中药的化学模式识别。

     

    Abstract: A three-layer back propagation neural network was employed to extract featuresfrom HPLC data of the traditional Chinese medicine Venenum bufonis. method does not need torecalculate the data matrix after introducing a new sample.The result shows that the BP neuralnetwork can be used in the chemical pattern recognition directly.

     

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