Strategy for constructing calibration sets based on a derivative spectra information space consensus

doi:10.1016/j.chemolab.2016.05.007

CASIA OpenIR > 智能制造技术与系统研究中心 > 多维数据分析（彭思龙）-技术团队

	Strategy for constructing calibration sets based on a derivative spectra information space consensus
	Li, Zhigang; Liu, Jiemin; Shan, Peng; et al.; Zhigang Li
发表期刊	CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
	2016-08-15
卷号	156 期号:156 页码:7–13
文章类型	Article
摘要	Constructing an excellent calibration set is crucial to ensuring accurate multivariate calibration of spectra data. The purpose of this paper is to present an improved Kennard–Stone (KS) calibration set construction strategy based on different derivative spectra information spaces, termed Consensus Kennard–Stone (CKS). The core idea is to make full use of different derivative spectra information spaces when constructing the calibration set using a consensus selection method aswell as to improve the prediction performance of the multivariate regression model. The experimental results from two public spectra datasets indicate that the proposed CKS strategy can use a more appropriate subset of samples for constructing the calibration set in the multivariate regression model and has superior predictive performance compared with the existing classic sample-selection KS strategies.
关键词	Consensus Selection calibration Set multivariate Regression Model partial Least Squares (Pls) derivative Spectra
WOS标题词	Science & Technology ; Technology ; Physical Sciences
DOI	10.1016/j.chemolab.2016.05.007
关键词[WOS]	REPRESENTATIVE SUBSET-SELECTION ; NEAR-INFRARED SPECTRA ; MULTIVARIATE CALIBRATION ; DIFFERENTIATION ; STANDARDIZATION ; VALIDATION ; REGRESSION ; VARIABLES ; MODELS ; NIR
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(31170956) ; Natural Science Foundation of Hebei(F2016501138 ; Fundamental Research Funds for the Central Universities(N142304006) ; F2014501127)
WOS研究方向	Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics
WOS类目	Automation & Control Systems ; Chemistry, Analytical ; Computer Science, Artificial Intelligence ; Instruments & Instrumentation ; Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS记录号	WOS:000380415100002
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12172
专题	智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队
通讯作者	Zhigang Li
推荐引用方式 GB/T 7714	Li, Zhigang,Liu, Jiemin,Shan, Peng,et al. Strategy for constructing calibration sets based on a derivative spectra information space consensus[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2016,156(156):7–13.
APA	Li, Zhigang,Liu, Jiemin,Shan, Peng,et al.,&Zhigang Li.(2016).Strategy for constructing calibration sets based on a derivative spectra information space consensus.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,156(156),7–13.
MLA	Li, Zhigang,et al."Strategy for constructing calibration sets based on a derivative spectra information space consensus".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 156.156(2016):7–13.