Wine Classification with Gas Sensors Combined with Independent Component Analysis and Neural Networks

Authors:
Jesús Lozano;Antonio García;Carlos J. García;Fernándo Alvarez;Ramón Gallardo
Affiliations:
Pattern Classification and Image Analysis Group., University of Extremadura, Badajoz, (Spain) 06006;Pattern Classification and Image Analysis Group., University of Extremadura, Badajoz, (Spain) 06006;Pattern Classification and Image Analysis Group., University of Extremadura, Badajoz, (Spain) 06006;Pattern Classification and Image Analysis Group., University of Extremadura, Badajoz, (Spain) 06006;Pattern Classification and Image Analysis Group., University of Extremadura, Badajoz, (Spain) 06006
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

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Abstract

The aim of this work is to demonstrate the alternative of using Independent Component Analysis (ICA) as a dimensionality reduction technique combined with Artificial Neural Networks (ANNs) for wine classification in an electronic nose. ICA has been used to reduce the dimension of the data in order to show in two variables the discrimination capability of the gas sensors array and as a preprocessing tool for further analysis with ANNs for classification purposes.