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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2017: Artificial Intelligence and Soft Computing pp 199–205Cite as

NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10245))

Abstract

In this paper, we propose a novel method for optimization of multicast routing. With the use of a NARX neural network, we predict a refresh timeout in PIM–DM algorithm.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

    Nataliia Vladymyrska, Michał Wróbel & Janusz T. Starczewski

  2. Institute of Information Technology, Radom Academy of Economics, Radom, Poland

    Janusz T. Starczewski

  3. National Metallurgical Academy of Ukraine, Dnipro, Ukraine

    Viktoriia Hnatushenko

Authors
  1. Nataliia Vladymyrska
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  2. Michał Wróbel
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  3. Janusz T. Starczewski
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  4. Viktoriia Hnatushenko
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Corresponding author

Correspondence to Janusz T. Starczewski .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Cite this paper

Vladymyrska, N., Wróbel, M., Starczewski, J.T., Hnatushenko, V. (2017). NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_18

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  • DOI: https://doi.org/10.1007/978-3-319-59063-9_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59062-2

  • Online ISBN: 978-3-319-59063-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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