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运用BP网络和SIMCA法对中药六味地黄丸中的熟地黄、山茱萸和牡丹皮三味药进行了缺味药材的模式识别方法学研究。采用HPLC中样品成分峰与内标峰面积的比值作为样本特征。结果两种方法的识别正确率分别为99.4％和96.5％。
The BP network and SIMCA method were used to study the pattern recognition methods of the deodorant herbs in the rehmannia glutinosa, hawthorn and peony bark of Liuwei Dihuang Pill. The ratio of the sample component peak to the internal standard peak area in HPLC was used as a sample feature. Results The correct recognition rates of the two methods were 99.4% and 96.5%, respectively.