Sensors 2012, 12(6), 8055-8072; doi:10.3390/s120608055
Article

Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction

1 Sensory Systems Research Group, University of Extremadura, 06006 Badajoz, Spain 2 Industrial Applications of Artificial Intelligence Research Group, 06006 Badajoz, Spain
* Author to whom correspondence should be addressed.
Received: 10 April 2012; in revised form: 25 May 2012 / Accepted: 5 June 2012 / Published: 11 June 2012
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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: independent component analysis; partial least squares; artificial neural networks; electronic nose; wine classification

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MDPI and ACS Style

Aguilera, T.; Lozano, J.; Paredes, J.A.; Álvarez, F.J.; Suárez, J.I. Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction. Sensors 2012, 12, 8055-8072.

AMA Style

Aguilera T, Lozano J, Paredes JA, Álvarez FJ, Suárez JI. Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction. Sensors. 2012; 12(6):8055-8072.

Chicago/Turabian Style

Aguilera, Teodoro; Lozano, Jesús; Paredes, José A.; Álvarez, Fernando J.; Suárez, José I. 2012. "Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction." Sensors 12, no. 6: 8055-8072.

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