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M
Masahiro Kawaji
city university of new york (cuny) system
36H指数
238论文数
5.7K被引数
收录论文 8
发表时间
Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends门控循环单位 (GRU),长短期记忆 (LSTM) 单元,自回归积分移动平均 (ARIMA),季节性自回归积分移动平均 (SARIMA) 的比较分析,用于预测新型冠状病毒肺炎趋势

