ACOGASS: variable, sample and pre-processing selection
Graphical user interface for the simultaneous selection of variables, samples and pre-processing methods in multivariate calibration.
Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
ACOGASS is a MATLAB graphical user interface for the simultaneous selection of calibration/validation samples, spectral (or other types of) variables and mathematical pre-processing methods in multivariate calibration with partial leas-squares (PLS-1). The interface integrates different algorithms for the selections: (1) ant colony optimization for variables, (2) genetic algorithms for pre-processing, and (3) Kennard-Stone and SPXY for samples.
Citation pour cette source
Alejandro Olivieri (2026). ACOGASS: variable, sample and pre-processing selection (https://fr.mathworks.com/matlabcentral/fileexchange/183299-acogass-variable-sample-and-pre-processing-selection), MATLAB Central File Exchange. Extrait(e) le .
An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration. Allegrini, F, Olivieri, AC, Talanta 115 (2013) 755-760.
Informations générales
- Version 1.0.1 (583 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2012a à R2018b
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.1 | Description updated |
||
| 1.0.0 |
