This paper presents a situation assessment system structure of the warships-airplanes joint operation and a new situation assessment algorithm based on parameter learning in. Bayesian network. Previously, situation assessments are usually operated by using a normal kind of Bayesian network with immutable probability distribution, which may cause the evaluation is too subjective. Therefore, a Bayesian assessment network with parameter learning is considered for a more objective result of the situation assessment. Then a new assessment algorithm of the parameter learning is discussed, which will improve the performance of the assessment. Finally, a model of the battlefield situation assessment of the warships-airplanes joint operation is presented. Its situation assessment simulation results verify the effectiveness of the proposed algorithm.


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    Titel :

    Situation assessment in the warships-airplanes joint operation based on parameter learning in Bayesian network


    Beteiligte:
    Xu, Changliang (Autor:in) / Wang, Yuhui (Autor:in) / Ai, Wenlei (Autor:in)


    Erscheinungsdatum :

    2014-08-01


    Format / Umfang :

    220159 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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