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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2016
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| 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 |