探讨概率神经网络在中药有效组分丹红配伍规律研究中的应用  

Exploring Application of PNN in Compatibility Study of Salvia miltiorrhiza and Carthamus tinctorius

作　　者：罗斌 王文瑄 王江[1] 苗琦[1] 朱慧渊[1] 董炳耀 LUO Bin;WANG Wenxuan;WANG Jiang;MIAO Qi;ZHU Huiyuan;DONG Bingyao(Shaanxi University of Chinese Medicine, Xianyang 712046, China;The Second Affiliated Hospital of Xi’an Medical College, Xi’an 710068, China)

机构地区：[1]陕西中医药大学,陕西咸阳712046 [2]西安医学院第二附属医院,陕西西安710068

出　　处：《中医药学报》2022年第1期36-40,共5页Acta Chinese Medicine and Pharmacology

基　　金：国家自然科学基金项目(81503491,81630105,81874366)。

摘　　要：中药有效组分配伍是基于中医方剂配伍理论,以组效关系为基础,阐述中药有效组分的量效关系及其作用机理,成为现今中医药研究的重点。然而,定量评价中药有效组分配伍的研究报道较少,研究方法较为单一,限制了中医方剂的发展进程。本文以中药丹参红花组分配伍为示范,针对M个丹参红花配伍实验组,每组N个样本,T个检测指标的实验数据,建立概率神经网络(PNN)分类模型,筛选最佳丹参红花组分配伍组,寻找最佳配伍组的剂量,旨在为中药有效组分配伍规律的研究提供一定的思路和方法。The effective components compatibility of Chinese medicinal is based on the theory of compatibility of TCM formula and based on the relationship between components and effects.Elaboration on quantitative effect relationship and mechanism of the effective components has become the research focus of TCM.However,the quantitative evaluation of the components compatibility of Chinese medicinal is rarely reported,and the research method is relatively simple,which limits the development of TCM formula.This study took the compatibility of Salvia miltiorrhiza and Carthamus tinctorius as the research objects,aiming at the experimental data of M Salvia miltiorrhiza and Carthamus tinctorius compatibility experimental groups,N samples in each group and T detection indexes,establishing the probabilistic neural network(PNN)classification model,selecting the best compatibility group of Salvia miltiorrhiza and Carthamus tinctorius group,finding the dose of the best compatibility group,so as to provide some ideas and methods for the compatibility law of components of Chinese medicinal.

关 键 词：概率神经网络 丹参 红花 组分配伍 

分 类 号：R289.1[医药卫生—方剂学]