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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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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
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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
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