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运用主成分分析法（ＰＣＡ）及非线性映射技术（ＮＬＭ），对来源全国各地的４０份苦参药材质量进行了化学模式识别研究，取得了与传统鉴定较为一致的结果。
Using principal component analysis (PCA) and nonlinear mapping technique (NLM), the chemical pattern recognition of 40 samples of medicinal materials from various parts of China was studied. The results obtained were consistent with the traditional identification.