ACOGASS: variable, sample and pre-processing selection

Version 1.0.1 (583 ko) par Alejandro Olivieri
Graphical user interface for the simultaneous selection of variables, samples and pre-processing methods in multivariate calibration.
0.0
(0)
3 téléchargements
Mise à jour 20 fév. 2026

Afficher la licence

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.

Compatibilité avec les versions de MATLAB
Créé avec R2018b
Compatible avec les versions R2012a à R2018b
Plateformes compatibles
Windows macOS Linux
Tags Ajouter des tags
Ouvrir dans un nouvel onglet
Version Publié le Notes de version
1.0.1

Description updated
1.0.0