Strategy for constructing calibration sets based on a derivative spectra information space consensus
文献类型：期刊论文
| 作者 | Li, Zhigang; Liu, Jiemin; Shan, Peng; et al.; Zhigang Li |
| 刊名 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
 |
| 出版日期 | 2016-08-15 |
| 卷号 | 156期号:156页码:7–13 |
| 关键词 | Consensus Selection calibration Set multivariate Regression Model partial Least Squares (Pls) derivative Spectra |
| DOI | 10.1016/j.chemolab.2016.05.007 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | REPRESENTATIVE SUBSET-SELECTION ; NEAR-INFRARED SPECTRA ; MULTIVARIATE CALIBRATION ; DIFFERENTIATION ; STANDARDIZATION ; VALIDATION ; REGRESSION ; VARIABLES ; MODELS ; NIR |
| WOS研究方向 | Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000380415100002 |
| 资助机构 | National Natural Science Foundation of China(31170956) ; Natural Science Foundation of Hebei(F2016501138 ; Fundamental Research Funds for the Central Universities(N142304006) ; F2014501127) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12172]  |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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