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International Conference on Neural Information Processing

ICONIP 2004: Neural Information Processing pp 953–958Cite as

Evolving Fuzzy Neural Networks Applied to Odor Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

Abstract

This paper presents the use of Evolving Fuzzy Neural Networks as pattern recognition system for odor recognition in an artificial nose. In the classification of gases derived from the petroliferous industry, the method presented achieves better results (mean classification error of 0.88%) than those obtained by Multi-Layer Perceptron (13.88%) and Time Delay Neural Networks (10.54%).

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References

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Author information

Authors and Affiliations

  1. Information Technology Center – Federal University of Pernambuco, P.O. Box 7851, Cidade Universitária, Recife, PE, 50.732-970, Brazil

    Cleber Zanchettin & Teresa B. Ludermir

Authors
  1. Cleber Zanchettin
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  2. Teresa B. Ludermir
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zanchettin, C., Ludermir, T.B. (2004). Evolving Fuzzy Neural Networks Applied to Odor Recognition. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_147

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_147

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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