| 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 |
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| 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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| 作者姓名： | 乔延江 王玺 毕开顺 罗旭 |
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| 作者单位： | 沈阳药科大学药物分析研究室 |
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| 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。
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| 关 键 词： | BP人工神经网络 特征提取 模式识别 |
| 收稿时间： | 1994-12-12 |
APPLICATION OF ARTIFICIATION OF ARTIFICATION NETWORKS TO THE FEATURE EXTRACTION IN CHEMICAL PATTERN RECOGNITION OF THE TRADITIONAL CHINESE MELICINE VENENUM BUFONIS |
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| YJ Qiao,X Wang,KS Bi and 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 |
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| Authors: | YJ Qiao X Wang KS Bi X Luo |
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| 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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| Keywords: | Artificial neural networks Feature extraction Pattern recognition |
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