Article ID Journal Published Year Pages File Type
1180988 Chemometrics and Intelligent Laboratory Systems 2006 7 Pages PDF
Abstract

The organisation committee of the symposium 'Chimiométrie 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.

Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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