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近年来我国中药产业发展迅速,但中药质量控制的方法仍不全面,是阻碍其发展的主要因素。模式识别法于20世纪80年代引入化学研究领域,同时也被应用于中药研究领域,目前,许多学者以模式识别理论为基础,建立了多种中药的有效且科学的质量评价方法。通过对模式识别法的基本原理和方法及其几种分析技术,如主成分分析、聚类分析、判别分析、灰色关联分析、偏最小二乘法、直观推导式演进特征投影法和人工神经网络技术等在中药质量控制及评价方面的应用进行综述,以期为模式识别法在中药质量评价中的进一步应用提供参考。
In recent years, the rapid development of Chinese medicine industry in our country, but the quality control of traditional Chinese medicine is still not comprehensive, is to hinder the development of the main factors. The pattern recognition method was introduced into the field of chemical research in the 1980s and also used in the field of traditional Chinese medicine. At present, many scholars have established effective and scientific methods for evaluating the quality of various traditional Chinese medicines based on the pattern recognition theory. Through the basic principles and methods of pattern recognition and its several analysis techniques, such as principal component analysis, cluster analysis, discriminant analysis, gray relational analysis, partial least squares, intuitionistic deduced evolutionary projection and artificial neural network And other applications in the quality control and evaluation of traditional Chinese medicine are reviewed in order to provide reference for the further application of pattern recognition in the quality evaluation of traditional Chinese medicine.