A mobile traffic load prediction based on recurrent neural network: A case of telecommunication in Afghanistan
Abstract This paper investigates the prediction of mobile traffic load based on four variants of recurrent neural networks, which are the simple long short‐term memory (LSTM), stacked LSTM, gated recurrent unit (GRU) and bidirectional LSTM. In the considered schemes, the mobile traffic load of 15 mi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-07-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12534 |