Strategy for constructing calibration sets based on a derivative spectra information space consensus
Li, Zhigang; Liu, Jiemin; Shan, Peng; et al.; Zhigang Li
2016-08-15
发表期刊CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
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
DOI10.1016/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
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
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.
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