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作 者:高昂 王晓路[2] 董志明 张国辉 Gao Ang;Wang Xiaolu;Dong Zhiming;Zhang Guohui(Army Academy of Armored Forces,Beijing 100072,China;China Academy of Launch Vehicle Technology,Beijing 100076,China)
机构地区:[1]陆军装甲兵学院,北京100072 [2]中国运载火箭技术研究院,北京100076
出 处:《系统仿真学报》2021年第2期484-493,共10页Journal of System Simulation
基 金:军内计划课题(41405030302)。
摘 要:针对装甲兵装备体系对抗模拟训练中,虚拟兵力战术对抗动作参数不合理,导致训练效果不理想问题,采取用先验概率估算后验概率的思路对参数矫正:按照OODA理论将装甲兵战术对抗动作分解,并构建影响因素指标体系;提出参数采集方法,建立贝叶斯网矫正模型,并实现动态调整;使用期望优化算法对模拟器训练数据处理,进而验证方法的有效性,实验结果与实际数据对比表明,该方法具有较高置信度。Aiming at the problem of unreasonable virtual force tactical confrontation action parameters in the simulation training of armored force equipment system, resulting in unsatisfactory training effects, the idea of estimating posterior probability with prior probability is adopted to correct the parameters. According to the OODA theory, the tactical confrontation movement of armored forces is decomposed and an index system of influencing factors is constructed;the parameter collection method is proposed to establish the Bayesian network correction model and to realize dynamic adjustment;the expected optimization algorithm and the principal component analysis method are used to process the training data of the simulator to verify the effectiveness of the method. The comparison between the experimental results and the actual data shows that the method has a high confidence.
关 键 词:虚拟兵力 战术对抗 动态贝叶斯网络 期望优化算法
分 类 号:TP319.9[自动化与计算机技术—计算机软件与理论]
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