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Sensors (Basel). 2012;12(6):8055-72. doi: 10.3390/s120608055. Epub 2012 Jun 11.

Electronic nose based on independent component analysis combined with partial least squares and artificial neural networks for wine prediction.

Author information

  • 1Sensory Systems Research Group, University of Extremadura, 06006 Badajoz, Spain. teoaguibe@unex.es

Abstract

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.

KEYWORDS:

artificial neural networks; electronic nose; independent component analysis; partial least squares; wine classification

PMID:
22969387
[PubMed - indexed for MEDLINE]
PMCID:
PMC3436016
Free PMC Article
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