Educational bandwidth traffic prediction using  non-linear autoregressive neural networks

Dyllon, Shwan; Hong, Timothy; Oumar, Ousmane Abdoulaye; Xiao, Perry

dc.contributor		es-ES
dc.creator	Dyllon, Shwan
dc.creator	Hong, Timothy
dc.creator	Oumar, Ousmane Abdoulaye
dc.creator	Xiao, Perry
dc.date	2018-09-30
dc.date.accessioned	2018-12-04T14:32:11Z
dc.date.available	2018-12-04T14:32:11Z
dc.identifier	http://revistas.utp.ac.pa/index.php/memoutp/article/view/1919
dc.identifier.uri	http://ridda2.utp.ac.pa/handle/123456789/5763
dc.description	Time series network traffic analysis and forecasting are important for fundamental to many decision-making processes, also to understand network performance, reliability and security, as well as to identify potential problems. This paper provides the latest work on London South Bank University (LSBU) network data traffic analysis by adapting nonlinear autoregressive exogenous model (NARX) based on Levenberg-Marquardt backpropagation algorithm. This technique can analyse and predict data usage in its current and future states, as well as visualise the hourly, daily, weekly, monthly, and quarterly activities with less computation requirement. Results and analysis proved the accuracy of the prediction techniques.	es-ES
dc.format	application/pdf
dc.language	spa
dc.publisher	Universidad Tecnológica de Panamá	es-ES
dc.relation	http://revistas.utp.ac.pa/index.php/memoutp/article/view/1919/2861
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source	Memorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 251-261	es-ES
dc.subject	Educational bandwidth;traffic prediction	es-ES
dc.title	Educational bandwidth traffic prediction using non-linear autoregressive neural networks	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion

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2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018 [52]
CLAWAR 2018: 21st International Conference. Panama City, Panama during 10 – 12 September 2018.

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