张海生, 缪婵娜. 面向战场态势评估的联合树相关推理[J]. 微电子学与计算机, 2013, 30(9): 26-29.
引用本文: 张海生, 缪婵娜. 面向战场态势评估的联合树相关推理[J]. 微电子学与计算机, 2013, 30(9): 26-29.
ZHANG Haisheng, MIAO Channa. Situation Assessment Based on Junction Tree Relevance Reasoning[J]. Microelectronics & Computer, 2013, 30(9): 26-29.
Citation: ZHANG Haisheng, MIAO Channa. Situation Assessment Based on Junction Tree Relevance Reasoning[J]. Microelectronics & Computer, 2013, 30(9): 26-29.

面向战场态势评估的联合树相关推理

Situation Assessment Based on Junction Tree Relevance Reasoning

  • 摘要: 本文首先从战场态势与事件间的因果关系出发,构建了用于态势评估的贝叶斯网络推理模型;分析了联合树算法在态势评估中所存在的问题,结合基于D分离的相关推理在模型结构挖掘方面的特性,提出了一种联合树相关推理方法;最后,通过实验验证了该方法的有效性和准确性,为态势评估下的精确推理提供了一种有效的解决方案。

     

    Abstract: In this paper,first a Bayesian network reasoning model for situation assessment is built according to the causal link between the battlefield situation and events. Then a problem occurred when applying junction tree algorithm to situation assessment is analyzed.Combining with the characteristics of relevance reasoning based D -Separation in model structure mining,a junction tree relevance reasoning method is proposed.Finally,the validity and accuracy of the method is verified by experiment,providing an effective solution of precise reasoning under situation assessment.

     

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