Prediction of COVID-19 epidemic situation via fine-tuned IndRNN
The COVID-19 pandemic is the most serious catastrophe since the Second World War. To predict the epidemic more accurately under the influence of policies, a framework based on Independently Recurrent Neural Network (IndRNN) with fine-tuning are proposed for predict the epidemic development trend of...
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| Autores principales: | , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/29562d9c71404cce9b11fd09ac22caaf |
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