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Intelligent Classifier for E-Nose Systems

  • Conference paper
Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 372))

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Abstract

This paper briefly discusses the state-of-the-art of e-noses and classifiers used in analyzing the response data from E-Nose systems and presents an idea about how to face off this kind of problems using ensembles of classifiers.

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References

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence, Technical University of Madrid, Madrid, Spain

    Dechen Pelki & Javier Bajo

  2. Osaka Institute of Technology, Osaka, Japan

    Sigeru Omatu

Authors
  1. Dechen Pelki
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  2. Javier Bajo
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  3. Sigeru Omatu
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Corresponding author

Correspondence to Dechen Pelki .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Josefa Z. Hernández

  3. Lille University of Science and Technology, Villeneuve d’Ascq Cédex, France

    Philippe Mathieu

  4. Department of Computer Science, Dartmouth College, Hanover, USA

    Andrew Campbell

  5. Computing Systems Department, Universidad de Castilla-La Mancha ESII, Albacete, Spain

    Antonio Fernández-Caballero

  6. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    María N. Moreno

  7. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Julián

  8. Computer Science Department, Laboratory for Research and Development in Artificial Intelligence (LIDIA), University of A Coruña, A Coruña, Spain

    Amparo Alonso-Betanzos

  9. Facultat de Lletres de la Universitat Rovira i Virgili, Tarragona, Spain

    María Dolores Jiménez-López

  10. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Botti

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Pelki, D., Bajo, J., Omatu, S. (2015). Intelligent Classifier for E-Nose Systems. In: Bajo, J., et al. Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-319-19629-9_31

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  • DOI: https://doi.org/10.1007/978-3-319-19629-9_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19628-2

  • Online ISBN: 978-3-319-19629-9

  • eBook Packages: EngineeringEngineering (R0)

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