炮兵战场目标选择仿真研究  

Reseach on Artillery Battlefield Target Selection Simulation

作　　者：王立欣[1] 贾希胜[1] 李文生[1] 史宪铭[1] 

机构地区：[1]军械工程学院,河北石家庄050003

出　　处：《计算机仿真》2012年第12期17-20,共4页Computer Simulation

摘　　要：研究作战目标优化选择问题,由于信息化战争炮兵战场目标繁多,目标选择难度越来越大,必须根据作战意图和部队作战能力,进行针对性识别。为了提高目标选择决策的科学性与有效性,建立了炮兵战场目标选择指标体系模型,设计了证据理论融合目标评价信息的具体步骤,用仿真方法引入目标选择识别,通过融合后的各指标综合评价值作为输入数据,构建了基于BP神经网络的目标选择仿真模型。利用案例实验输出的目标选择结果与目标实际选择结果基本一致,说明先用方法对目标选择判别具有实用性和准确性,能够为炮兵战场指挥员开展目标选择提供定量决策依据。This paper researched the problem of battlefield target selection. Under the information - based warfare, there are so many targets in the artillery battlefield that the difficulty of target selection is more and more big. Commanders are required to recognise targets according to combat intention and combat ability. To better improve the rationality and validity of target selection, we established the index system of artillery battlefield target selection, designed a detailed step of target evaluation information integration based on the evidence theory, and constructed a simulation model of target selection based on BP neural network. The simulation result of the case is highly in accord with the target actually selected, which proves the veracity and the practicability of this method. It also provides the artillery commander with a quantitative theoretic basis for the target selection decision - making.

关 键 词：炮兵 目标选择 证据理论 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]