侦察辅助决策模型构建方法研究

Construction Method of Reconnaissance Assistant Decision Model

现代战场信息大数据产生的战争迷雾对指挥员的战场判断产生了强烈干扰,这些都会增加指挥员的指挥决策的难度,侦察预警力量的使用是掌握战场主动的开端,利用智能化手段辅助侦查命令的下达是要达到的目标,依据对某作战模拟系统中战场数据的研究基础上,通过对侦察命令的关键信息提取,结合对侦查效果的标签建立,围绕侦查需求设计出一套针对侦察预警决策的辅助模型,并对模型进行训练,来达到我们辅助侦察决策的效果。

The fog of war in modem battlefield information big data generated by the judgment of the battlefield commander had a strong interference, which could increase the difficulty of decision-making. The use of reconnaissance and early warning forces is the beginning of mastering the initiative of the battlefield. Intelligent auxiliary investigation command is to achieve this goal. On the basis of the simulation system field data of a certain operations, through extracting the key information of order, combined with establishing the labels of reconnaissance effect, an auxiliary decision model aimed at reconnaissance and early warning is designed. This model is also trained to achieve the effect of an auxiliary decision at the aspects of and early warning.