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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2015
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| Subjects: | |
| Online Access: | 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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