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运用人工神经网络和非线性映射技术评价中药复方制剂戊己丸的质量[J]. 中国药科大学学报, 1996, (2): 91-94.
引用本文: 运用人工神经网络和非线性映射技术评价中药复方制剂戊己丸的质量[J]. 中国药科大学学报, 1996, (2): 91-94.
Study on Quality Evaluation of Traditional Chinese Patent Medicine Wuji Wan by Adaptive Resonance Network and Non-Linear Mapping[J]. Journal of China Pharmaceutical University, 1996, (2): 91-94.
Citation: Study on Quality Evaluation of Traditional Chinese Patent Medicine Wuji Wan by Adaptive Resonance Network and Non-Linear Mapping[J]. Journal of China Pharmaceutical University, 1996, (2): 91-94.

运用人工神经网络和非线性映射技术评价中药复方制剂戊己丸的质量

Study on Quality Evaluation of Traditional Chinese Patent Medicine Wuji Wan by Adaptive Resonance Network and Non-Linear Mapping

  • 摘要: 运用二值自适应共振理论(ART1)网络和非线性映射(NLM)技术对中药戊己丸进行了省缺药材的定性识别研究。实验数据为药材浸出物的红外光谱,特征提取采用Shannon信息量法。结果表明,ART1网络能对多种情况进行识别,正确识别率为85%,明显优于NLM技术。

     

    Abstract: This paper is concerned with qualitative recognition of omitted ingredien ts in traditional Chinese patent medicine Wuji Wan by adaptive resonance network(ART1)and non-linear mapping(NLM).Shannon information content theory was used for the feature selecti

     

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