A comparison of variate pre-selection methods for use in partial least squares regression: a case study on NIR spectroscopy applied to monitoring beer fermentation

This work investigates four methods of selecting variates from near-infrared (NIR) spectra for use in partial least squares (PLS) regression models to predict biomass and chemical changes during beer fermentation. The fermentation parameters studied were ethanol concentration, specific gravity (SG),...

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Bibliographic Details

Main Authors:	Georgina McLeod, Kirsty Clelland, Henri S. Tapp, E. Katherine Kemsley, Reginald H. Wilson, Graham H. Poulter, David Coombs, Christopher Hewitt
Format:	Default Article
Published:	2009
Subjects:	Chemical engineering not elsewhere classified NIR spectroscopy PLS regression Brewing Variate selection Genetic algorithm Chemical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/4334
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