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MEEMD-DBA-based short term traffic flow prediction

ZHANG Xijun HAO Jun NIE Shengyuan CUI Yong

高技术通讯（英文版）2023，Vol.29Issue(1)：41-49,9.

高技术通讯（英文版）2023，Vol.29Issue(1)：41-49,9.DOI:10.3772/j.issn.1006-6748.2023.01.005

MEEMD-DBA-based short term traffic flow prediction

ZHANG Xijun ¹HAO Jun ¹NIE Shengyuan ¹CUI Yong¹

作者信息

1. College of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,P.R.China
折叠

摘要

关键词

modified ensemble empirical mode decomposition ( MEEMD)/double bidirection-al-directional gated recurrent unit ( DBiGRU)/attention mechanism/traffic flow prediction

Key words

modified ensemble empirical mode decomposition ( MEEMD)/double bidirection-al-directional gated recurrent unit ( DBiGRU)/attention mechanism/traffic flow prediction

引用本文复制引用

ZHANG Xijun,HAO Jun,NIE Shengyuan,CUI Yong..MEEMD-DBA-based short term traffic flow prediction[J].高技术通讯（英文版）,2023,29(1):41-49,9.

基金项目

Supported by the National Natural Science Foundation of China(No.62162040,61966023),the Higher Educational Innovation Foundation Project of Gansu Province of China(No.2021A-028)and the Science and Technology Plan of Gansu Province(No.21ZD4GA028). （No.62162040,61966023）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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