EMD-LSTM based deep learning inbound and outbound passenger flow prediction

Author:

Chen Junxi1,Cao Liangben1,Yu Kaihan1

Affiliation:

1. Sichuan Agricultural University, China

Publisher

ACM

Reference10 articles.

1. Jian Zheng. Experimental study on the method of IMF component determination criterion in empirical modal decomposition [J/OL]. Mapping and Geographic Information:1-4 [2021-03-18]. https://doi.org/10.14188/j.2095-6045.2018391. Jian Zheng. Experimental study on the method of IMF component determination criterion in empirical modal decomposition [J/OL]. Mapping and Geographic Information:1-4 [2021-03-18]. https://doi.org/10.14188/j.2095-6045.2018391.

2. Combined prediction of turning traffic flow based on EMD-GRU recurrent neural network [J];Wang CJ;Industrial Control Computer,2020

3. EMD-LSTM model for prediction of financial time series[J];Yao H;Computer Engineering and Applications,2021

4. Research on time series correlation analysis [J];Chen;Modern Information Technology,2020

5. Analysis of flight operation risk propagation based on complex network [J];Yantao Wang;Transportation System Engineering and Information,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The HWAM-EMD-GRU Forecasting Model for Short-Term Passenger Flow in an Airport Light Rail Transit Line;Urban Rail Transit;2024-05-03

2. Prediction of Short-term Passenger Flow of Urban Rail Transit based on Data Decomposition;2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA);2022-06-24

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