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International Conference on Artificial Intelligence: Methodology, Systems, and Applications

AIMSA 2010: Artificial Intelligence: Methodology, Systems, and Applications pp 271–272Cite as

Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6304))

Abstract

The aim of this paper is present a novel method of data sample reduction for classification of interval information. Its concept is based on the sensitivity analysis, inspired by artificial neural networks, while the goal is to increase the number of proper classifications and primarily, calculation speed. The presented procedure was tested for the data samples representing classes obtained by random generator, real data from repository, with clustering also being used.

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References

  1. Engelbrecht, A.P.: Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. Fundamenta Informaticae 46(3), 219–252 (2001)

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  2. Jaulin, L., Kieffer, M., Didrit, O., Walter, E.: Applied Interval Analysis. Springer, Berlin (2001)

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  3. Kowalski, P.A.: Bayesian Classification of Imprecise Interval-Type Information. Systems Research Institute, Polish Academy of Sciences, Ph.D. Thesis (2009) (in Polish)

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  4. Kulczycki, P.: Kernel Estimators in Industrial Applications. In: Prasad, B. (ed.) Soft Computing Applications in Industry, pp. 69–91. Springer, Berlin (2008)

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, PL-01-447, Warsaw, Poland

    Piotr A. Kowalski

  2. Department of Automatic Control and Information Technology, Cracow University of Technology, ul. Warszawska 24, PL-31-155, Cracow, Poland

    Piotr Kulczycki

Authors
  1. Piotr A. Kowalski
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  2. Piotr Kulczycki
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Editor information

Editors and Affiliations

  1. Winston-Salem State University, 601 S. Martin Luther King Drive, NC 27110, Winston Salem, USA

    Darina Dicheva

  2. Institute of Information Technologies, Bulgarian Academy of Sciences, 29A Acad. Bonchev Str., 1113, Sofia, Bulgaria

    Danail Dochev

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kowalski, P.A., Kulczycki, P. (2010). Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis. In: Dicheva, D., Dochev, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2010. Lecture Notes in Computer Science(), vol 6304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15431-7_32

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  • DOI: https://doi.org/10.1007/978-3-642-15431-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15430-0

  • Online ISBN: 978-3-642-15431-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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