| 稳健算法及其在红外光谱分析中的应用 |
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| 引用本文： | 陆宇振,杜昌文,余常兵,周健民. 稳健算法及其在红外光谱分析中的应用[J]. 分析测试技术与仪器, 2013, 19(2): 71-76 |
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| 作者姓名： | 陆宇振 杜昌文 余常兵 周健民 |
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| 作者单位： | 1.中国科学院南京土壤研究所, 土壤与农业可持续发展国家重点实验室, 江苏 南京 210008 |
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| 基金项目： | 中国科学院知识创新重要方向项目(KZCX2-YW-QN411)资助. |
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| 摘 要： | 总结了稳健主成分分析、稳健主成分回归、稳健偏最小二乘回归和稳健连续回归等各种稳健算法的新近成果. 研究表明,稳健算法可以检测并规避异常值的影响. 稳健算法应用红外光谱分析中可望优化定性、定量预测模型.
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| 关 键 词： | 稳健算法 异常值 红外光谱分析 |
| 收稿时间： | 2013-04-12 |
| 修稿时间： | 2013-05-13 |
Robust Algorithm and Its Application in Infrared Spectral Analysis |
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| LU Yu-zhen,DU Chang-wen,YU Chang-bing and ZHOU Jian-min. Robust Algorithm and Its Application in Infrared Spectral Analysis[J]. Analysis and Testing Technology and Instruments, 2013, 19(2): 71-76 |
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| Authors: | LU Yu-zhen DU Chang-wen YU Chang-bing ZHOU Jian-min |
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| Affiliation: | 1.Nanjing Institute of Soil Science, National Key Lab. of Soil ad Sustainable Agriculture Chinese Academy of Sciences, Nanjing 21008, China2.Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China |
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| Abstract: | The recent achievements of sundry robust algorithms, including robust principal component analysis, robust principal component regression, robust partial least square regression, robust continuum regression, etc. are summarized. Robust algorithms can detect outliers and circumvent their negative impacts. The application of robust algorithms in infrared spectral analysis can be expected to improve the qualitative and quantitative models. |
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| Keywords: | robust algorithm outlier infrared spectral analysis |
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