相关实验视频

铁路乘客流量预测的透导向模式切换:一个适应的EA-ARIMA-Informer框架

Silun Tan1, Xinghua Shan1, Zhengzheng Wei1

  • 1Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China.

Entropy (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究介绍了EA-ARIMA-Informer,这是一种用于预测铁路乘客流量的自适应框架. 它通过使用测量来适应常规和破坏性事件来显著提高准确性.

关键词:
在EA-ARIMA-Informer中提供信息.适应性预测框架 适应性预测框架以为导向的系统检测检测.可以解释的预测预测.预测乘客流量的预测铁路系统的铁路系统

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