Genetic algorithms applied to feature selection in PLS regression: how and when to use them
- 1 July 1998
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 41 (2) , 195-207
- https://doi.org/10.1016/s0169-7439(98)00051-3
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Random correlation in variable selection for multivariate calibration with a genetic algorithmChemometrics and Intelligent Laboratory Systems, 1996
- Application of New Variable Selection Techniques to near Infrared SpectroscopyJournal of Near Infrared Spectroscopy, 1996
- Genetic Algorithms as a Tool for Wavelength Selection in Multivariate CalibrationAnalytical Chemistry, 1995
- Interactive variable selection (IVS) for PLS. Part II: Chemical applicationsJournal of Chemometrics, 1995
- Transfer of calibration function in near-infrared spectroscopyChemometrics and Intelligent Laboratory Systems, 1995
- A primer on multivariate calibrationAnalytical Chemistry, 1994
- Application of a genetic algorithm to feature selection under full validation conditions and to outlier detectionJournal of Chemometrics, 1994
- Genetic algorithms as a strategy for feature selectionJournal of Chemometrics, 1992
- Comparison of multivariate calibration methods for quantitative spectral analysisAnalytical Chemistry, 1990
- Partial least-squares regression: a tutorialAnalytica Chimica Acta, 1986