A neural classifier based on stepwise correlative component analysis, named SCCA-HBP, for classifying the quality pattern of Chinese Medicinal Materials (CMM) is proposed.

• 摘要提出并构建了一种基于分步相关成分分析的神经元分类器(SCCA-HBP)，并将其用于中药材质量模式分类。