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反向传播神经网络用于牛黄解毒片的质量评价研究
作者姓名:夏保云  冯鑫  蔡文生  印春生  潘忠孝
作者单位:安徽中医学院生化教研室!合肥230038(夏保云,冯鑫),中国科学技术大学应用化学系(蔡文生,印春生,潘忠孝)
摘    要:目的:研究中成药牛黄解毒片的质量评价方法。方法:应用反向传播神经网络(BP神经网络)模型。结果:该分类结果与其它经典方法一致,识别准确率为100%。结论:该方法具有较强的容错能力和较快的识别速度,简单易行,便于大规模的数据处理,也可用其它中成药的质量评价。

关 键 词:反向传播神经网络  牛黄解毒片  质量控制

THE QUALITY VALUATION OF DETOXICATING TABLET WITH COW-BEZOAR BY BP NEURAL NETWORKS
Authors:Xia Baoyun  Fen Xin  Cai Wensheng  Yin Chunsheng  Pan Zhongxiao
Abstract:Objective:Study the method of evaluating the quality of detoxicating tablet with cow bezoare.Method:A back propagation neural networks was used.Result:The results got by this method was the same as that obtained by other classical methods,the recognizable accuracy was 100%.Conclusion:This model was relative fast and simple.It could be used to deal with the huge data.This method could also be used to evaluate other Chinese traditional medicines.
Keywords:A back propagation neural networks  Detoxicating tablet with cow  bezoar  Quality evaluation
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