In view of the increasingly complex navigation situation, in order to ensure the safety of ship navigation, a neural network is proposed to establish an environmental safety risk assessment model for ocean-going passenger ships. In the case of analyzing the factors affecting the safety of the ship's navigation environment, each factor is quantified and assigned, and each group of data is evaluated and scored according to experience and quantitative rules. Input the data to the neural network and train the neural network model. The test data is input into the neural network model, and the data predicted by the neural network model is compared with the expert's score. The evaluation results reflect the feasibility of the model.


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    Titel :

    Ship Navigation Safety Assessment Based on Neural Network


    Beteiligte:
    Wang, Shuxuan (Autor:in) / Zhang, Huajun (Autor:in) / Luo, Xin (Autor:in)


    Erscheinungsdatum :

    26.06.2022


    Format / Umfang :

    1565274 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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