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基于贝叶斯网络的机载武器系统综合决策 被引量:19

Integrated Decision for Airborne Weapon Systems Based on Bayesian Networks
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摘要 分析了机载软硬杀伤武器系统的战术使用方式和有效作用空域,给出了软硬杀伤武器系统在空间上的协同使用准则。分析了使用贝叶斯网络进行软硬杀伤武器系统综合决策的知识表示问题,得出了综合决策网络的三种类型的节点:态势节点、传感器节点、武器节点。提出了构建贝叶斯网络进行综合决策的步骤,通过具体实例说明了使用贝叶斯网络进行软硬杀伤武器系统综合决策的过程。 The tactical operation and effective zone of the sotftkill and hardkill weapon systems were analyzed, and the coordination criteria of the sofikill and hardkill weapon systems were presented. The knowledge representation of the imegrated decision of the sofikill and hardkill weapon systems using the Bayesian networks was discussed, and the three types' nodes of the integrated decision network were brought forward, which were situation node, sensor node and weapon node. The steps on construct a Bayesian networks for the integrated deeision were presented. Finally, the process of how to use the bayesian networks for the integrated deeision of the softkill and hardkill weapon systems was showed by an example.
作者 李波 高晓光
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2007年第4期886-889,共4页 Journal of System Simulation
基金 国家自然科学基金项目(10377014)
关键词 软杀伤 硬杀伤 贝叶斯网络 综合决策 协同 softkill hardkill Bayesian networks integrated deeision coordination
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参考文献5

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