Hybrid Model for Method for Short-Term Traffic Flow Prediction Based on Secondary Decomposition Technique and ELM | Zendy

Leina Zhao | Zendy; Xinyu Wen | Zendy; Yiming Shao | Zendy; Zhenyu Tang | Zendy

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Hybrid Model for Method for Short-Term Traffic Flow Prediction Based on Secondary Decomposition Technique and ELM

Author(s) -

Leina Zhao,

Xinyu Wen,

Yiming Shao,

Zhenyu Tang

Publication year - 2022

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2022/9102142

Subject(s) - hilbert–huang transform , decomposition , benchmark (surveying) , term (time) , autoregressive model , extreme learning machine , algorithm , decomposition method (queueing theory) , computer science , mode (computer interface) , flow (mathematics) , artificial neural network , mathematics , mathematical optimization , artificial intelligence , statistics , energy (signal processing) , ecology , physics , geometry , geodesy , quantum mechanics , biology , geography , operating system

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