Predictive model and methodology for optical telecommunications infrastructure

Title:

Predictive model and methodology for optical telecommunications infrastructure

Creator:

Douda, V. and Jánešová , M.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:872518a6-c260-4e67-8edf-79e489369915
uuid:872518a6-c260-4e67-8edf-79e489369915
doi:10.14311/NNW.2016.26.020

Subject:

cluster analysis, crisis management, and optical transport network

Type:

model:article and TEXT

Format:

bez média and svazek

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2016 Volume:26 | Number:4

Harvested from:

CDK

Metadata only:

false