Performance of modeling time series using nonlinear autoregressive with eXogenous input (NARX) in the network traffic forecasting

A time-series data analysis and prediction tool for learning the network traffic usage data is very important in order to ensure an acceptable and a good quality of network services can be provided to the organization (e.g., university). This paper presents the modeling using a nonlinear autoregress...

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Main Authors: Haviluddin Haviluddin, Rayner Alfred
格式: Conference or Workshop Item
語言:English
English
出版: 2015
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在線閱讀:https://eprints.ums.edu.my/id/eprint/30269/1/Performance%20of%20modeling%20time%20series%20using%20nonlinear%20autoregressive%20with%20eXogenous%20input%20%28NARX%29%20in%20the%20network%20traffic%20forecasting%20ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/30269/4/Performance%20of%20modeling%20time%20series%20using%20nonlinear%20autoregressive%20with%20eXogenous%20input%20%28NARX%29%20in%20the%20network%20traffic%20forecasting.pdf
https://eprints.ums.edu.my/id/eprint/30269/
https://ieeexplore.ieee.org/document/7407797/keywords#keywords
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