主成分分析在地质样品分类与浓度预测中的应用研究

基金项目:

地质行业科学技术发展基金

Study on Classification and Elemental Concentration Prediction of Geological Samples by Principal Component Analysis

摘要: 用主成分分析方法研究地质样品的Ｘ荧光光谱强度与浓度的关系，对未知样分类并预测样品浓度。对标准化后的数据计算各样品的主成分得分，根据得分分布图可快速分类样品。对训练样品作主成分回归分析，建立降维的主成分回归模型，用主元回归预测各组分浓度，效果好于多元回归分析方法。
- 主成分分析 /
- 荧光光谱 /
- 地质样品 /
- 分类 /
- 浓度预测
Abstract: The relationship between concentration and Xray fluorescence intensity in geological samples was investigated by principal component analysis (PCA). The classification of these samples was performed by applying PCA to the standardized data and plotting th
- principal /
- component /
- analysis /
- Xray /
- fluorescence