Frost, volker J.; Molt, Karl:
Use of a genetic algorithm for factor selection in principal component regression.
1998
In: Journal of Near Infrared Spectroscopy, Jg. 6 (1998), Heft 1-4, S. A185 - A190
Artikel/Aufsatz in Zeitschrift / Fach: Chemie
Titel:
Use of a genetic algorithm for factor selection in principal component regression.
Autor(in):
Frost, volker J. im Online-Personal- und -Vorlesungsverzeichnis LSF anzeigen; Molt, Karl im Online-Personal- und -Vorlesungsverzeichnis LSF anzeigen
Erscheinungsjahr:
1998
Erschienen in:
Journal of Near Infrared Spectroscopy, Jg. 6 (1998), Heft 1-4, S. A185 - A190
ISSN:

Abstract:

The crit. point in the development of principal component regression (PCR) calibration programs is the automatic factor selection step. In classical methods this is based on a differentiation between primary and secondary factors and other statistical assumptions and criteria. In contrast to this the Genetic Algorithm (GA) used for factor selection in this paper finds the optimal combination of factors without statistical constraints beyond an appropriately chosen fitness function.