基于神经网络的中药黄芩药效评价方法研究

Abstract

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.

Key words: quality assessment of a traditional Chinese medicine, chromatographic fingerprint and pharmacological effect correlation mode, neural network, fingerprint

CLC Number:

R284.1

HOU En-Guang, LI Shu-Bin, LI Ke, DING Xiao-Yan, LV Ling, LIU Qing, ZHAO Bo-Nian, XU Zong-Yuan. Neural network based assessment of pharmacological effects of traditional Chinese medicine[J].J4, 2011, 24(1): 72-76.

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Neural network based assessment of pharmacological effects of traditional Chinese medicine

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