Towards traffic matrix prediction with LSTM recurrent neural networks
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DOI: 10.1049/el.2018.0336
Abstract: This Letter investigates traffic matrix (TM) prediction that is widely used in various network management tasks. To fastly and accurately attain timely TM estimation in large-scale networks, the authors propose a deep architecture based on… read more here.
Keywords: traffic; lstm recurrent; matrix prediction; recurrent neural ... See more keywords