态势评估中的贝叶斯网络模型研究

J4 ›› 2009, Vol. 36 ›› Issue (3): 491-495.

态势评估中的贝叶斯网络模型研究

柴慧敏;王宝树

(西安电子科技大学计算机学院，陕西西安 710071)

收稿日期:2008-09-19 修回日期:2008-10-28 出版日期:2009-06-20 发布日期:2009-07-04
通讯作者: 柴慧敏
基金资助:
国家部委科技预研基金资助(51315080202)

Research on the Bayesian networks model in situation assessment

CHAI Hui-min;WANG Bao-shu

(School of Computer Science and Technology, Xidian Univ., Xi'an 710071， China)

Received:2008-09-19 Revised:2008-10-28 Online:2009-06-20 Published:2009-07-04
Contact: CHAI Hui-min

摘要/Abstract

摘要：

针对战场态势评估的特点，采用模块化的贝叶斯网络模型对态势问题进行描述，动态构建贝叶斯网络结构．为了解决动态构建贝叶斯网络的推理问题，提出一种新的解决方法，将待连接贝叶斯网络模块的推理结果作为软证据，输入到已有网络对应的节点中，以代替所要连接的贝叶斯网络模块，在不改变贝叶斯网络结构的情况下完成网络的推理过程．仿真实验结果表明该方法是有效的．

关键词: 态势估计, 贝叶斯网络, 推理算法

Abstract:

The modular Bayesian network is proposed, which is utilized to assess the situation in the battlefield. According to the event and target action, the modular Bayesian network is dynamically constructed. In the process of inference for the Bayesian model, the inference result of combined Bayesian networks is considered as the soft evidence of the corresponding node in the present networks. Finally, a simple application of the method is described. The results show that the method is available and computationally efficient.

Key words: situation assessment, Bayesian networks, inference algorithm

中图分类号:

TP212

柴慧敏;王宝树. 态势评估中的贝叶斯网络模型研究[J]. J4, 2009, 36(3): 491-495.

CHAI Hui-min;WANG Bao-shu. Research on the Bayesian networks model in situation assessment[J]. J4, 2009, 36(3): 491-495.

参考文献

［1］Hall D L, Llinas J. Handbook of Multisensor Data Fusion［M］. Washington: CRC Press, 2001.
［2］李伟生, 王宝树. 实现规划识别的一种贝叶斯网络［J］. 西安电子科技大学学报, 2002, 29(6): 741-744.
Li Weisheng, Wang Baoshu. A Bayesian Network for Implementing Plan Recognition［J］. Journal of Xidian University, 2002, 29(6): 741-744.
［3］雷英杰, 王宝树, 王毅. 基于直觉模糊决策的战场态势评估方法［J］. 电子学报, 2006, 34(12): 2175-2179.
Lei Yingjie, Wang Baoshu, Wang Yi. Techniques for Battlefield Situation Assessment Based on Intuitionistic Fuzzy Decision ［J］. ACTA Electronica Sinica, 2006, 34(12): 2175-2179.
［4］李伟生, 王三民, 王宝树. 基于计划识别的态势估计方法研究［J］. 电子与信息学报, 2006, 28(3): 532-536.
Li Weisheng, Wang Sanmin, Wang Baoshu. Study of Situation Assessment Method Based on Plan Recognition Theory［J］. Journal of Electronics & Information Technology , 2006, 28(3): 532-536.
［5］王开军, 张军英, 张宏怡. 几何模式动态贝叶斯网络基因调控网络［J］. 西安电子科技大学学报, 2007, 34(6): 922-925.
Wang Kaijun, Zhang Junying, Zhang Hongyi. Geometric-pattern Dynamic Bayesian Networks Reasoning Gene Regulatory Networks［J］. Journal of Xidian University, 2007, 34(6): 922-925.
［6］刘家鹏, 詹原瑞, 刘睿. 基于贝叶斯网络的操作风险建模［J］. 西安电子科技大学学报(社会科学版), 2007, 17(4): 32-39.
Liu Jiapeng, Zhan Yuanrui, Liu Rui. Model of Operational Risk of Bank Based on Bayesian Networks［J］. Journal of Xidian University(Social Sciences Edition), 2007, 17(4): 32-39.
［7］Mahoney S M, Laskey K B. Constructing Situation Specific Belief Networks［EB/OL］. ［2008-06-30］. http://ite.gmu.edu/~klaskey/papers/Laskey_Mahoney_UAI98.pdf.
［8］Pearl J. Fusion, Propagation, and Structuring in Belief Networks［J］. Artificial Intelligence, 1986, 29(3): 241-288.

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