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Luntian Mou

Beijing University of Technology

100 Ping Le Yuan

Chaoyang District

Beijing, 100020

China

SCHOLARLY PAPERS

1

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0

Scholarly Papers (1)

1.

Improving Traffic Flow Prediction Via Learning the Periodic Features with Time Information

Number of pages: 18 Posted: 26 May 2022
Beijing University of Technology, Beijing University of Technology, Peking University, Peking University - Department of Computer Science and Technology, Beijing University of Technology and Peking University
Downloads 53 (1,041,696)

Abstract:

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T-LSTM, Deep Learning, Periodic features, Multi-step prediction, Traffic flow prediction