Random correlation in variable selection for multivariate calibration with a genetic algorithm
- 31 December 1996
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 35 (2), 213-220
- https://doi.org/10.1016/s0169-7439(96)00062-7
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Genetic Algorithms as a Tool for Wavelength Selection in Multivariate CalibrationAnalytical Chemistry, 1995
- Calibration line adjustment to facilitate the use of synthetic calibration samples in near-infrared spectrometric analysis of pharmaceutical production samplesAnalytica Chimica Acta, 1995
- Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic dataAnalytica Chimica Acta, 1995
- Genetic algorithms in wavelength selection: a comparative studyAnalytica Chimica Acta, 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
- Principal component regression in NIR analysis: Viewpoints, background details and selection of componentsJournal of Chemometrics, 1988
- Partial least-squares regression: a tutorialAnalytica Chimica Acta, 1986
- Chance factors in studies of quantitative structure-activity relationshipsJournal of Medicinal Chemistry, 1979
- Chance correlations in structure-activity studies using multiple regression analysisJournal of Medicinal Chemistry, 1972