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A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis

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...

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Detalles Bibliográficos
Autores principales: Chang, Haitao, Zhu, Lianqing, Lou, Xiaoping, Meng, Xiaochen, Guo, Yangkuan, Wang, Zhongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944088/
https://www.ncbi.nlm.nih.gov/pubmed/27446631
http://dx.doi.org/10.1155/2016/5416506