The aim of this work is to propose an alternative way for wine classiﬁcation and prediction based on an electronic nose (e-nose) combined with Independent Component Analysis (ICA) as a dimensionality reduction technique, Partial Least Squares (PLS) to predict sensorial descriptors and Artiﬁcial Neural Networks (ANNs) for classiﬁcation purpose. A total of 26 wines from different regions, varieties and elaboration processes have been analyzed with an e-nose and tasted by a sensory panel. Successful results have been obtained in most cases for prediction and classiﬁcation.
Paredes, J. A.,
Alvarez, F. J.,
& Suárez, J. I.
(2012). Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction. Sensors, 12 (6), 8055-8072.