| 主成分──逐步回归法在近红外光谱定量分析中应用的研究 |
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| 引用本文： | 齐小明,张录达,柴丽娜.主成分──逐步回归法在近红外光谱定量分析中应用的研究[J].北京农学院学报,1999,14(2):45-49. |
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| 作者姓名： | 齐小明 张录达 柴丽娜 |
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| 作者单位： | 1. 北京农学院基础科学系,北京,102206
2. 中国农业大学,北京,100094 |
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| 摘 要： | 本文使用一种新的多元统计建模方法：主成分——逐步回归法，用于近红外光谱定量分析中，其预测精度接近偏最小二乘法．
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| 关 键 词： | 近红外光谱 定量分析 主成分─逐步回归法 |
| 修稿时间： | 1999-10-15 |
Study of Near-Infrared Spectra for Quantitative Analysis Using Principal Component-stepwise Regression Analysis |
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| Qi,Xiaoming et al.Study of Near-Infrared Spectra for Quantitative Analysis Using Principal Component-stepwise Regression Analysis[J].Journal of Beijing Agricultural College,1999,14(2):45-49. |
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| Authors: | Qi Xiaoming |
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| Abstract: | If Near-Infrared spectra (NIR) is used,to create a math model through chemometrics is neededIn this study,we put forward Principal componentstepwise regression (PCR-SRA) algorithmIn this way,the principal components are created by PCR firstThen,in term of every output variable the independent variables be selected and the regression equations is constructed each otherIn prediction,this way can compare beauty with PLS |
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| Keywords: | Near-Infrared spectra quantitative Analysis Principal componentstepwise regression algorithm |
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