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Functional data analysis for the development of a calibration model for near-infrared data

Lookup NU author(s): Cheng Jiang, Professor Elaine Martin


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The calibration performance of two functional data analysis approaches is investigated in this paper. The performance of the method is considered for different basis functions, the penalized B-spline with equally spaced knots and the B-spline with unequally spaced knots and wavelets. The various approaches are compared with respect to the prediction of the mole fractions of different components from the spectrum of mixture samples. The different approaches are benchmarked against the more traditional calibration modelling approach of PLS. © 2008 Elsevier B.V. All rights reserved.

Publication metadata

Author(s): Jiang C, Martin EB

Editor(s): Braunschweig, B., Joulia, X.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 18th European Symposium on Computer Aided Process Engineering (ESCAPE 18)

Year of Conference: 2008

Pages: 683-688

ISSN: 1570-7946

Publisher: Computer Aided Chemical Engineering: Elsevier BV


DOI: 10.1016/S1570-7946(08)80119-8

Library holdings: Search Newcastle University Library for this item

ISBN: 9780444532275