基于ARIMA模型的物流网络中心货物量预测研究

[3]Siami-Namini S, Tavakoli N, Namin A S. A comparison of ARIMA and LSTM in forecasting time series[C]//2018 17th IEEE international conference on machine learning and applications (ICMLA). IEEE, 2018: 1394-1401.

[4]Dey B, Roy B, Datta S, et al. Forecasting ethanol demand in India to meet future blending targets: A comparison of ARIMA and various regression models[J]. Energy Reports, 2023, 9: 411-418.

[5]黄玲,任苏灵.基于ACO优化的ARIMA-ES-RF布伦特原油价格预测研究[J].科技和产业,2024,24(05):111-119.

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[3]Siami-Namini S, Tavakoli N, Namin A S. A comparison of ARIMA and LSTM in forecasting time series[C]//2018 17th IEEE international conference on machine learning and applications (ICMLA). IEEE, 2018: 1394-1401.

[4]Dey B, Roy B, Datta S, et al. Forecasting ethanol demand in India to meet future blending targets: A comparison of ARIMA and various regression models[J]. Energy Reports, 2023, 9: 411-418.

[5]黄玲,任苏灵.基于ACO优化的ARIMA-ES-RF布伦特原油价格预测研究[J].科技和产业,2024,24(05):111-119.