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基于神经网络的中药黄芩药效评价方法研究
引用本文:侯恩广,李树彬,李珂,丁晓彦,吕凌,刘青,赵渤年,于宗渊.基于神经网络的中药黄芩药效评价方法研究[J].山东科学,2011,24(1):72-76.
作者姓名:侯恩广  李树彬  李珂  丁晓彦  吕凌  刘青  赵渤年  于宗渊
作者单位:1.山东省汽车电子技术重点实验室,山东省科学院自动化研究所,山东 济南 250014; 2.山东省中医药研究院,山东 济南 250014
基金项目:国家科学技术部"十一五"支撑计划项目,山东省科学院博士基金
摘    要:本文建立了中药黄芩药效评价的BP神经网络模型,通过收集海量相关数据,训练其模型参数,建立了中药黄芩谱-效结合评价系统。测试结果证明了该方法的先进性与可靠性。

关 键 词:中药药效评价  谱-效相关模式  神经网络  指纹图谱  

Neural network based assessment of pharmacological effects of traditional Chinese medicine
HOU En-guang,LI Shu-bin,LI Ke,DING Xiao-yan,L Ling,LIU Qing,ZHAO Bo-nian,YU Zong-yuan.Neural network based assessment of pharmacological effects of traditional Chinese medicine[J].Shandong Science,2011,24(1):72-76.
Authors:HOU En-guang  LI Shu-bin  LI Ke  DING Xiao-yan  L Ling  LIU Qing  ZHAO Bo-nian  YU Zong-yuan
Institution:1.Shandong Provincial Key Laboratory of Automotive Electronics, Institute of Automation, Shandong Academy of Sciences, Jinan 250014, China; 2.Shandong Academy of Traditional Chinese Medicine, Jinan 250014, China
Abstract:How to impersonally and effectively assess the pharmacological effects of traditional Chinese medicine (TCM) is one of the difficulties confronting the modern research of TCM. This paper establishes a neural network model for the assessment of pharmacological effects of traditional Chinese medicine Huang Qin. We train this model with massive data and adjust its model parameters. We therefore construct a union effect assessment system for the traditional Chinese medicine Huang Qin. Test results show the advances and reliability of this method.
Keywords:quality assessment of a traditional Chinese medicine  chromatographic fingerprint and pharmacological effect correlation mode  neural network  fingerprint
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