摘 要:
通过Matlab软件编程，建立了一个小规模的弹炮结合武器系统的作战仿真模型，进行蒙特卡罗仿真。通过对仿真结果的分析和参考相关文献，确定影响弹炮结合武器系统作战效能的主要因素。建立一个BP神经网络模型，该模型以这些影响弹炮结合武器系统效能的主要因素为输入，以弹炮结合武器系统对目标的拦截率为输出，利用大量仿真所得数据作为样本对神经网络模型进行训练，并验证了其有效性。[著者文摘]
文章出处:
《现代防御技术》-2008年36卷1期 -10-16页
栏目信息:
文献标识码:
A
文章编号:
1009-086X（2008）-01-0010-07
Assessment Method of Gun-Missile Weapon Systems Efficiency
SHI Lei, SHI De-ping （The Second System Design Department of the Second Research Academy of CASIC, Beijing 100854, China）
Abstract:
A simulation module about the combat of gun-missile weapon system in small scale was founded using Matlab, Monte Carlo simulation was made,some main factors from which could assess the efficiency of gun-missile weapon systems was put forward through analyzing the result of simulations and reference materials. A BP neural Network module using these factors as input and using interception rate as output was founded, the NN module using the results of simulations was trained, and the usability of this module was checked out.[著者文摘]
Key words:
gun-missile weapon system; operational effectiveness; Monte Carlo method; BP neural network
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