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作 者:王凯 闫强强 WANG Kai;YAN Qiang-qiang(Army Artillery Air Defense College, Hefei 230031, China)
出 处:《指挥控制与仿真》2022年第3期71-74,共4页Command Control & Simulation
摘 要:为解决炮兵远程火力毁伤评估难的问题,构建一种炮兵远程火力毁伤评估模型。在分析炮兵远程火力毁伤评估特点的基础上,以多源决策级毁伤情报为前提构建了基于贝叶斯网络的毁伤模型,依据历史数据,利用MLE参数学习确定了模型的网络参数,并结合实例数据证明了模型的适用性。结果表明:该模型能够准确评估炮兵远程火力对打击目标造成的毁伤等级,为炮兵远程火力精准评估毁伤效果提供支撑。In order to solve the problem of artillery remote fire damage assessment,an artillery remote fire damage assessment model is constructed.Based on the analysis of the characteristics of artillery long-range fire damage assessment,a damage model based on Bayesian network theory is constructed on the premise of multi-source decision-making damage information.According to historical data,the network parameters of the model are determined by using MLE parameter learning.The applicability of the model is proved by example data.The results show that this model can accurately assess the damage level of artillery remote fire on the target,and provide support for the accurate assessment of damage effect of artillery remote fire.
关 键 词:火力毁伤评估 贝叶斯网络 炮兵远程火力 多源情报
分 类 号:E920.8[军事—军事装备学] E924[兵器科学与技术—武器系统与运用工程]
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