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Predictive model and methodology for optical telecommunications infrastructure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00301941" target="_blank" >RIV/68407700:21260/16:00301941 - isvavai.cz</a>

  • Result on the web

    <a href="http://ojs.nnw.cz/" target="_blank" >http://ojs.nnw.cz/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/NNW.2016.26.020" target="_blank" >10.14311/NNW.2016.26.020</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive model and methodology for optical telecommunications infrastructure

  • Original language description

    In this article a predictive model and a novel methodology of processing the data measured in the physical model of an optical telecommunications infrastructure is presented. The task is motivated by practical use of the results of experiments in the environment of the telecommunications network. We present an original predictive model and methodology, reflecting the specifics of examined infrastructure. The probabilistic prediction of the occurrence of emergencies is calculated via cluster analysis techniques used in Bayesian approach in the n-dimensional data space. The predictive model is experimentally verified on real data. Results of experiments are interpreted for practical use in real environment of the telecommunications infrastructure.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    351-361

  • UT code for WoS article

    000383306600003

  • EID of the result in the Scopus database