基于贝叶斯网络的空中目标作战企图识别研究  

Research on Air Target Combat Intention Inference Based on Bayesian Network

作　　者：耿振余 张建康 

机构地区：[1]空军武器装备体系研究国防科技重点实验室,北京100076

出　　处：《现代防御技术》2008年第6期40-44,共5页Modern Defence Technology

摘　　要：研究探讨了空中目标作战企图的识别问题。提出了基于贝叶斯网络和模糊逻辑相结合的空中目标作战企图识别方法,通过专家知识建立网络模型的结构,运用案例库分析来训练网络模型的边缘概率和条件概率参数,并用简单的示例推理验证了模型的有效性,该模型可以在有证据缺失的情况下进行推理。The problem of inferring air target combat intention is discussed.The method of inferring air target combat intention based on Bayesian network and fuzzy set is presented.The framework of network model is set up with experts knowledge.The parameters of marginal probability or conditional probability for each node are gotten with the method of cases analysis.The model validity is validated with demonstration.The model can be used when some evidences are lost.

关 键 词：贝叶斯网络 模糊集 作战企图 识别 

分 类 号：E844[军事—战术学]