Dual stacked partial least squares for analysis of near-infrared spectra

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 多维数据分析团队

	Dual stacked partial least squares for analysis of near-infrared spectra
	Bi, Yiming 1; Xie, Qiong1 ; Peng, Silong1 ; Tang, Liang 1; Hu, Yong 1; Tan, Jie 1; Zhao, Yuhui 2; Li, Changwen 3
刊名	ANALYTICA CHIMICA ACTA
	2013-08-20
卷号	792 页码:19-27
关键词	Partial least squares Ensemble learning Selective weighting rule Multivariate calibration Near-infrared spectra
英文摘要	A new ensemble learning algorithm is presented for quantitative analysis of near-infrared spectra. The algorithm contains two steps of stacked regression and Partial Least Squares (PLS), termed Dual Stacked Partial Least Squares (DSPLS) algorithm. First, several sub-models were generated from the whole calibration set. The inner-stack step was implemented on sub-intervals of the spectrum. Then the outer-stack step was used to combine these sub-models. Several combination rules of the outer-stack step were analyzed for the proposed DSPLS algorithm. In addition, a novel selective weighting rule was also involved to select a subset of all available sub-models. Experiments on two public near-infrared datasets demonstrate that the proposed DSPLS with selective weighting rule provided superior prediction performance and outperformed the conventional PLS algorithm. Compared with the single model, the new ensemble model can provide more robust prediction result and can be considered an alternative choice for quantitative analytical applications. (c) 2013 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]	MULTIVARIATE CALIBRATION ; ENSEMBLE METHODS ; NIR SPECTRA ; REGRESSION ; SPECTROSCOPY ; SELECTION ; MODEL
收录类别	SCI
语种	英语
WOS记录号	WOS:000323468300003
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2901]
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.Northeastern Univ Qinhuangdao, Sch Business & Econ, Qinhuangdao 066000, Peoples R China 3.Tianjin Tasty Grp, Food Res Inst, Tianjin 300410, Peoples R China
推荐引用方式 GB/T 7714	Bi, Yiming,Xie, Qiong,Peng, Silong,et al. Dual stacked partial least squares for analysis of near-infrared spectra[J]. ANALYTICA CHIMICA ACTA,2013,792:19-27.
APA	Bi, Yiming.,Xie, Qiong.,Peng, Silong.,Tang, Liang.,Hu, Yong.,...&Li, Changwen.(2013).Dual stacked partial least squares for analysis of near-infrared spectra.ANALYTICA CHIMICA ACTA,792,19-27.
MLA	Bi, Yiming,et al."Dual stacked partial least squares for analysis of near-infrared spectra".ANALYTICA CHIMICA ACTA 792(2013):19-27.