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A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis
Joint Authors
Zhu, Lianqing
Chang, Haitao
Meng, Xiaochen
Guo, Yangkuan
Wang, Zhongyu
Lou, Xiaoping
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Over the last decade, near-infrared spectroscopy, together with the use of chemometrics models, has been widely employed as an analytical tool in several industries.
However, most chemical processes or analytes are multivariate and nonlinear in nature.
To solve this problem, local errors regression method is presented in order to build an accurate calibration model in this paper, where a calibration subset is selected by a new similarity criterion which takes the full information of spectra, chemical property, and predicted errors.
After the selection of calibration subset, the partial least squares regression is applied to build calibration model.
The performance of the proposed method is demonstrated through a near-infrared spectroscopy dataset of pharmaceutical tablets.
Compared with other local strategies with different similarity criterions, it has been shown that the proposed local errors regression can result in a significant improvement in terms of both prediction ability and calculation speed.
American Psychological Association (APA)
Chang, Haitao& Zhu, Lianqing& Lou, Xiaoping& Meng, Xiaochen& Guo, Yangkuan& Wang, Zhongyu. 2016. A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis. Journal of Analytical Methods in Chemistry،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1107337
Modern Language Association (MLA)
Chang, Haitao…[et al.]. A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis. Journal of Analytical Methods in Chemistry No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1107337
American Medical Association (AMA)
Chang, Haitao& Zhu, Lianqing& Lou, Xiaoping& Meng, Xiaochen& Guo, Yangkuan& Wang, Zhongyu. A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis. Journal of Analytical Methods in Chemistry. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1107337
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107337