Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration

Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration

Multiple linear regression (MLR) is compared with partial least-squares (PLS) regression. It is shown that the MLR and PLS solutions are very similar.

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Veröffentlicht in:Analytical chemistry (Washington) 1995-12, Vol.67 (23), p.4295-4301
Hauptverfasser: Jouan-Rimbaud, Delphine, Massart, Desire-Luc, Leardi, Riccardo, De Noord, Onno E
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
Chemistry
Exact sciences and technology
Genetics
Organic polymers
Physicochemistry of polymers
Properties and characterization
Scientific imaging
Structure, morphology and analysis
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Beschreibung
Zusammenfassung:Multiple linear regression (MLR) is compared with partial least-squares (PLS) regression. It is shown that the MLR and PLS solutions are very similar.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac00119a015