To fully utilize the combat potential of ground-attack Unmanned Aerial Vehicles (UAV), a UAV combat effectiveness evaluation model is proposed based on Firefly Optimization Algorithm (FOA) and Relevance Vector Machine (RVM). FOA algorithm is adopted to optimize the relevant parameters of the multi-kernel RVM, and the ground-attack UAV combat effectiveness evaluation model is established. Simulation shows that, the proposed model has achieved high evaluation accuracy and is better than RVM model.


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    Titel :

    Combat Effectiveness Evaluation for Ground-Attack UAV Based on Multi-Kernel RVM


    Beteiligte:
    Luhao, Zhang (Autor:in) / Minghua, Wang (Autor:in) / Ze, Li (Autor:in) / Yongxin, Li (Autor:in)


    Erscheinungsdatum :

    29.12.2023


    Format / Umfang :

    1043130 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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