CN106950193B - 基于自加权变量组合集群分析的近红外光谱变量选择方法 - Google Patents
基于自加权变量组合集群分析的近红外光谱变量选择方法 Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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CN110361356A (zh) * | 2019-07-30 | 2019-10-22 | 长春理工大学 | 一种提高小麦水分预测精度的近红外光谱变量选择方法 |
CN111504942A (zh) * | 2020-04-26 | 2020-08-07 | 长春理工大学 | 一种提高牛奶中蛋白质预测精度的近红外光谱分析方法 |
Citations (4)
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CN101430276A (zh) * | 2008-12-15 | 2009-05-13 | 北京航空航天大学 | 一种光谱分析中波长变量优选方法 |
CN103344600A (zh) * | 2013-06-28 | 2013-10-09 | 中国农业大学 | 一种蚁群优化算法的近红外光谱特征波长选择方法 |
CN104949936A (zh) * | 2015-07-13 | 2015-09-30 | 东北大学 | 基于优化偏最小二乘回归模型的样品成份测定方法 |
CN105203498A (zh) * | 2015-09-11 | 2015-12-30 | 天津工业大学 | 一种基于lasso的近红外光谱变量选择方法 |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101430276A (zh) * | 2008-12-15 | 2009-05-13 | 北京航空航天大学 | 一种光谱分析中波长变量优选方法 |
CN103344600A (zh) * | 2013-06-28 | 2013-10-09 | 中国农业大学 | 一种蚁群优化算法的近红外光谱特征波长选择方法 |
CN104949936A (zh) * | 2015-07-13 | 2015-09-30 | 东北大学 | 基于优化偏最小二乘回归模型的样品成份测定方法 |
CN105203498A (zh) * | 2015-09-11 | 2015-12-30 | 天津工业大学 | 一种基于lasso的近红外光谱变量选择方法 |
Non-Patent Citations (6)
Title |
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J. Ferre', N.K.M. Faber.Net analyte signal calculation for multivariate calibration.《Chemometrics and Intelligent Laboratory Systems》.2003,第123-136页. |
R. F. Teo'filo, J. P. A. Martins, M. M. C. Ferreira.Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression.《J. Chemometrics》.2008,第32-48页. |
基于变量组合集群分析法的小麦蛋白质近红外光谱变量选择方法研究;赵环等;《长春理工大学学报》;20161031;第39卷(第5期);第51-54页 |
基于特征投影图的小麦近红外光谱变量选择方法研究;宦克为等;《光谱学与光谱分析》;20121130;第32卷(第11期);第2962-2965 |
基于蒙特卡罗特征投影法的小麦蛋白质近红外光谱测量变量选择;宦克为等;《农业工程学报》;20130228;第29卷(第4期);第266-270页 |
高光谱估算土壤有机质含量的波长变量筛选方法;于雷等;《农业工程学报》;20160731;第32卷(第13期);第95-100页 |
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