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  • Dardenne, P. & Fernández Pierna, J.A. (2006). A NIR data set is the object of a chemometric contest at "Chimiométrie 2004". Chemom. Intell. Lab. Syst. 80: (2), 236-242.
Détails et références de la publication
Type Journal Article
Année 2006
Titre A NIR data set is the object of a chemometric contest at "Chimiométrie 2004"
Abstract The organisation committee of the symposium 'Chimiome´trie 2004' (http://www.chimiometrie.org/) held in Paris (30th November and 1st December) proposed on their web site a NIR data set. This data set contained 194 spectra of minced meat taken on an Infratec-Tecator instrument between 850 and 1050 nm. The participants were asked to present during the conference their own approaches to calibrate and predict two independent and blind test sets. The committee received nine answers and this paper summarizes the different ways the data were treated by the participants and the proposed approach of the authors. The conference session was quite interesting and considered valuable for a publication by the committee and the participants. The prediction performances expressed by the RMSEP vary within a ratio of 10 between the extremes values. Due to the non-linearity, methods based on classification gave the best prediction models. A simple ANN model gave the best results.
Fichier
Journal Chemom. Intell. Lab. Syst.
Volume 80
Issue 2
Pages 236-242
Date 2006
Type of article scientifique, recherche
Project/Service ref chemospec-u12
Endnote keywords Di-Chimiométrie
Endnote Keywords NIRS|Near infrared|PLS|ANN|classification|Meat|
Author address Dardenne Pierre, Quality Department of Agro-food Products, Walloon Agricultural Research Centre (CRA-W), Chaussée de Namur, 24, B-5030 Gembloux, dardenne@cra.wallonie.be Fernandez Pierna Juan Antonio, Quality Department of Agro-food Products, Walloon Agri
Caption U15-0554-dardenne-2006.pdf
Auteurs Dardenne, P. & Fernández Pierna, J.A.
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