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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Jackson, R.S.: Wine Science: Principles, Practice, Perception, 2nd edn. Academic Press, San Diego (2000)
Pearce, T.C., Schiffman, S.S., Nagle, H.T., Gardner, J.W.: Handbook of Machine Olfaction. Wiley-VCH, Germany (2003)
Gutierrez-Osuna, R.: Pattern analysis for machine olfaction: a review. IEEE Sens. J. 2(3), 189–202 (2002)
Lozano, J., Santos, J.P., Gutiérrez, J., Horrillo, M.C.: Comparative study of sampling systems combined with gas sensors for wine discrimination Sensors and Actuators B: Chemical, October 2007, vol. 126(2,1), pp. 616–623 (2007)
Lozano, J., Santos, J.P., Horrillo, M.C.: Enrichment sampling methods for wine discrimination with gas sensors. Journal of Food Composition and Analysis 21(8), 716–723 (2008)
Lozano, J., Santos, J.P., Horrillo, M.C.: Classification of white wine aromas with an electronic nose. Talanta 67, 610–616 (2005)
Aleixandre, M., Sayago, I., Horrillo, M.C., Fernández, M.J., Arés, L., García, M., Santos, J.P., Gutiérrez, J.: Analysis of neural networks and analysis of feature selection with genetic algorithm to discriminate among pollutant gas. Sensors and Actuators B: Chemical 103(1-2), 122–128 (2004)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, pp. 115–117. Wiley Interscience, Hoboken (2001)
Jutten, C., Hérault, J.: Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing 24, 1–10 (1991)
Comon, P.: Independent component analysis, a new concept? Signal Processing 36, 287–314 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lozano, J., García, A., García, C.J., Alvarez, F., Gallardo, R. (2009). Wine Classification with Gas Sensors Combined with Independent Component Analysis and Neural Networks. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_160
Download citation
DOI: https://doi.org/10.1007/978-3-642-02478-8_160
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02477-1
Online ISBN: 978-3-642-02478-8
eBook Packages: Computer ScienceComputer Science (R0)