An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration
A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection based on ant colony optimization, (2) mathematical pre-processing selectio...
Guardado en:
| Autores principales: | Allegrini, Franco, Olivieri, Alejandro César |
|---|---|
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/2133/10470 http://hdl.handle.net/2133/10470 |
| Aporte de: |
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