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

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5517))

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.

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© 2009 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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