摘要
针对炮兵火力运用方案评估中的主观性和不确定性等问题,将模糊理论融入到BP神经网络对其进行评估,并通过多种群自适应遗传算法对神经网络进行优化以提高评估的效率。构建了炮兵火力运用方案评估指标体系、评估流程和评估模型。最后,结合实例进行了仿真验证分析,得出了较为可靠的结论,为炮兵火力运用方案评估提供了有效方法。
To solve the subjection and uncertainty problems in the assessment of artillery fire application plan,the fuzzy theory is used in the BP neural network to assess them.The multiple population self-adaptive genetic algorithm is used to optimize the neural network to improve the efficiency of assessment.The index system,process and the model of the artillery fire application plan assessment are structured.In the final,an example is given to set up an analysis of simulation and validation,which proves an liable result and provides an effective way to assess the artillery fire application plan.
出处
《指挥控制与仿真》
2017年第1期25-29,36,共6页
Command Control & Simulation
基金
国防预研基金项目
关键词
炮兵火力运用方案
评估
神经网络
模糊理论
artillery fire application plan
assessment
neural network
fuzzy theory
作者简介
刘铜（1987-）,男,重庆铜梁人,硕士研究生,研究方向为军事运筹学.
李小全（1976-）,男,副教授,硕士生导师.
王永良（1964-）,男,教授,硕士生导师.
王键（1986-）,男,参谋.
