The invention discloses a ship collision risk degree judgment method. The method comprises the steps: acquiring ship navigation data to be processed; performing data preprocessing on the to-be-processed ship data to obtain processed data; identifying the ship navigation features through a nonlinear support vector machine decision tree model, and determining the collision risk degree of the ship and the target ship. The invention discloses a ship collision risk degree discrimination system. The ship collision risk degree discrimination method and system can be applied to mass data while improving the classification precision.

    本发明公开了一种船舶碰撞危险度判别方法,包括:获取待处理船舶航行数据;对所述待处理船舶数据进行数据预处理,得到处理后的数据;通过非线性支持向量机决策树模型对所述船舶航行特征进行识别,确定本船与目标船的碰撞危险度。本发明公开了一种船舶碰撞危险度判别系统。本发明的一种船舶碰撞危险度判别方法及系统,在提高分类精度的同时可应用于海量数据。


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    Titel :

    Ship collision risk degree judgment method and system


    Weitere Titelangaben:

    一种船舶碰撞危险度判别方法及系统


    Beteiligte:
    LIU YE (Autor:in) / WEN TING (Autor:in) / YANG LINGBO (Autor:in) / DUAN ZE (Autor:in)

    Erscheinungsdatum :

    29.01.2021


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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