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。
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 selection of IR spectra of extracts.The result demonstrated that ART1 is capable of classification and recognition of omitted ingredients in Wuji Wan.
出处
《中国药科大学学报》
CSCD
北大核心
1996年第2期91-94,共4页
Journal of China Pharmaceutical University
基金
霍英东教育基金
关键词
戊己丸
质量评价
中药复方制剂
神经网络
Adaptive resonance network
Non-linear mapping
Wuji Wan
Quality evaluation