Genetic algorithm-based wavelength selection method for spectral calibration

In this paper, we propose a genetic algorithm‐based wavelength selection (GAWLS) method for visible and near‐infrared (Vis/NIR) spectral calibration. The objective of GAWLS is to construct robust and predictive regression models by selecting informative wavelength regions. To demonstrate the ability...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of chemometrics 2011-01, Vol.25 (1), p.10-19
Hauptverfasser:	Arakawa, Masamoto, Yamashita, Yosuke, Funatsu, Kimito
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical chemistry Calibration Chemistry Construction Exact sciences and technology General and physical chemistry General. Nomenclature, chemical documentation, computer chemistry genetic algorithm Genetic algorithms Genetics Mathematical models partial least squares Regression Regression analysis Spectra Spectrum analysis Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry visible/near-infrared spectrum wavelength selection Wavelengths
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!