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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Detalles Bibliográficos
Autores principales: Hong, Zhonghua, Fan, Ziyang, Tong, Xiaohua, Zhou, Ruyan, Pan, Haiyan, Zhang, Yun, Han, Yanling, Wang, Jing, Yang, Shuhu, Wu, Hong, Li, Jiahao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592248/
https://www.ncbi.nlm.nih.gov/pubmed/34825057
http://dx.doi.org/10.7717/peerj-cs.770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592248/
https://www.ncbi.nlm.nih.gov/pubmed/34825057
http://dx.doi.org/10.7717/peerj-cs.770

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