山东科学2011，Vol.24Issue(1)：72-76,5.
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
摘要
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.关键词
中药药效评价/谱-效相关模式/神经网络/指纹图谱Key words
quality assessment of a traditional Chinese medicine/ chromatographic fingerprint and pharmacological effect correlation mode/ neural network/ fingerprint分类
医药卫生引用本文复制引用
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):72-76,5.基金项目
国家科学技术部"十一五"支撑计划项目(2006BAI06A02-03) （2006BAI06A02-03）
山东省科学院博士基金项目(科基合字[2008]第25号) （科基合字[2008]第25号）
