ACOGASS: variable, sample and pre-processing selection
Graphical user interface for the simultaneous selection of variables, samples and pre-processing methods in multivariate calibration.
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.
引用格式
Alejandro Olivieri (2026). ACOGASS: variable, sample and pre-processing selection (https://ww2.mathworks.cn/matlabcentral/fileexchange/183299-acogass-variable-sample-and-pre-processing-selection), MATLAB Central File Exchange. 检索时间: .
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.
