基于神经网络的中药黄芩药效评价方法研究  

Neural network based assessment of pharmacological effects of traditional Chinese medicine

作　　者：侯恩广[1] 李树彬[1] 李珂[1] 丁晓彦[2] 吕凌[2] 刘青[2] 赵渤年[2] 于宗渊[2] 

机构地区：[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

出　　处：《山东科学》2011年第1期72-76,共5页Shandong Science

基　　金：国家科学技术部"十一五"支撑计划项目(2006BAI06A02-03);山东省科学院博士基金项目(科基合字[2008]第25号)

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。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.

关 键 词：中药药效评价 谱-效相关模式 神经网络 指纹图谱 

分 类 号：R284.1[医药卫生—中药学] O242.1[医药卫生—中医学]