摘要
简单介绍贝叶斯网络及其在建模过程中的核心内容。研究以贝叶斯网络及其推理机制为基础的威胁等级评估算法,建立基于该算法的无人机火力威胁叠加情况下的威胁等级评估模型。最后通过实验仿真验证算法的有效性,能对无人机火力威胁等级做出较准确的评估。
Bayesian Network and its key problems in building model were proposed briefly. Algorithm of threat level assessment was discussed based on Bayesian Network and its inference model, and a threat level assessment model which was established under firepower threat superposition of UAV circumstance, based on this algorithm was provided. Simulation result shows that the algorithm is effective and is able to reflect the real firepower threat level of UAV.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第15期4625-4627,4631,共4页
Journal of System Simulation
基金
青岛科技大学科研启动基金项目(0022147)
