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An improved ensemble partial least squares for analysis of near-infrared spectra

文献类型：期刊论文

作者Hu, Yong1; Peng, Silong1; Peng, Jiangtao1; Wei, Jiping2
刊名TALANTA
出版日期2012-05-30
卷号94页码:301-307
关键词Partial least squares Bagging Boosting Creating diversity Quantitative analysis
英文摘要Traditional ensemble regression algorithms such as BAgging Partial Least Squares (BAPLS) and BOosting Partial Least Squares (BOPLS) do not perform very well in the data set that is relatively small or contaminated by random noise. To make the method robust and improve its prediction ability, inspired from bias-variance-covariance decomposition, we propose an improved ensemble partial least squares method based on the diversity. The new method is applied to quantitative analysis of Near InfraRed (NIR) data sets. A comparative study between the proposed method and other previous methods including BAPLS and BOPLS on two NIR data sets is provided. Experimental results show that the proposed method can achieve better performance than other methods. (C) 2012 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Chemistry, Analytical
研究领域[WOS]Chemistry
关键词[WOS]REGRESSION
收录类别SCI
语种英语
WOS记录号WOS:000305167300046
源URL[http://ir.ia.ac.cn/handle/173211/2924]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Food Res Inst Tianshili Grp, Tianjin 300410, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Yong,Peng, Silong,Peng, Jiangtao,et al. An improved ensemble partial least squares for analysis of near-infrared spectra[J]. TALANTA,2012,94:301-307.
APA Hu, Yong,Peng, Silong,Peng, Jiangtao,&Wei, Jiping.(2012).An improved ensemble partial least squares for analysis of near-infrared spectra.TALANTA,94,301-307.
MLA Hu, Yong,et al."An improved ensemble partial least squares for analysis of near-infrared spectra".TALANTA 94(2012):301-307.

入库方式： OAI收割

来源：自动化研究所

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