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.%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.
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