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数据驱动的深度学习神经网络用于预测感染COVID-19Omicron变异的个体数量

Ebenezer O Oluwasakin1, Abdul Q M Khaliq1

  • 1Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN 37132, USA.

Epidemiologia (Basel, Switzerland)
|October 24, 2023
PubMed
概括

预测COVID-19 Omicron变种的传播是至关重要的. 一个新的时间序列神经网络模型准确地预测了感染,在具有不同缓解措施的国家中表现优于传统模型.

关键词:
在COVID-19 Omicron变种中.数据驱动的数据驱动.深度学习是一种深度学习.逻辑微分方程 逻辑微分方程逻辑信息的神经网络 逻辑信息的神经网络流行病的数学建模 流行病的数学建模时间依赖的函数.

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