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    Titel :

    Prediction of ship traffic flow based on RF-bidirectional LSTM neural network


    Beteiligte:
    Sun, Xiaocong (Autor:in) / Yu, Chen (Autor:in) / Fu, Yuhui (Autor:in) / Zhang, Yifei (Autor:in)

    Kongress:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021)



    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    1 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Prediction of ship traffic flow based on RF-bidirectional LSTM neural network

    Sun, Xiaocong / Yu, Chen / Fu, Yuhui et al. | SPIE | 2022


    Research on ship traffic flow prediction based on GTO-CNN-LSTM

    Ding, Runzhen / Xie, Haibo / Dai, Cheng et al. | SPIE | 2024


    Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction

    Li, Zhihong / Xu, Han / Gao, Xiuli et al. | Taylor & Francis Verlag | 2024


    Short-term traffic flow prediction with LSTM recurrent neural network

    Kang, Danqing / Lv, Yisheng / Chen, Yuan-yuan | IEEE | 2017


    Short traffic flow prediction method based on ARIMA and LSTM hybrid neural network

    WANG WEI / ZHOU WEI / HUA XUEDONG et al. | Europäisches Patentamt | 2021

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