摘要
通过分析影响任务规划结果合理性的各因素的决策要素,构建了任务规划合理性评估指标体系.基于深度学习建立了多层神经网络作战任务规划合理性智能分析模型,通过融合专家的评估经验并不断学习,建立各指标值与合理性分析结果之间的映射关系.仿真结果表明:该评估模型能够准确有效地评估作战任务规划的合理性.
A mission planning rationality evaluation index system is constructed by analyzing the key factors that affect the rationality of mission planning results. Based on deep learning, a multi-layer neural network operational mission planning rationality intelligent analysis model is established. By integrating the expert evaluation experience and learning continuously, the mapping relationship between each index value and the rationality analysis result is established. The simulation results show that the evaluation model can accurately and effectively evaluate the rationality of operational mission planning.
作者
赵晓晓
肖玉杰
马吟龙
徐蕾
郭慧鑫
ZHAO Xiao-Xiao;XIAO Yu-Jie;MA Yin-Long;XU Lei;GUO Hui-Xin(North Automatic Control Technology Institute, Taiyuan Shanxi 030006,China)
出处
《指挥与控制学报》
2019年第2期153-158,共6页
Journal of Command and Control
关键词
任务规划
合理性分析
深度学习
mission planning
rationality analysis
deep learning