摘要
坦克分队火力配系是坦克分队防御战斗中指挥员实施战场指挥的重要内容,选取火力配系方案的优劣直接影响着防御作战的胜负。首先介绍了BP神经网络的原理及使用方法,在系统分析制约坦克分队火力配系影响因素基础上,构建了火力配系方案评估的指标体系,接着详细设计了用于评估火力配系方案的BP神经网络模型,并利用MATLAB仿真软件对结果进行了计算和分析。结果表明BP神经网络具有很强的解决复杂非线性关系问题的特点,适用于对坦克分队火力配系方案优劣分析和评价。
Tank element＇s fire system is an important content for commander on defending fields, whether choosing better proposal will directly decide the results of the campaigns. In this paper, the basic principle and using method of BP neural network are firstly introduced, based on analyzing the impacting factors on tank element＇s fire system, the index system for estimating the fire system proposa is designed, then the paper particularly designs the model of BP neural network that is used to estimate the fire system and the result is calculated and analyzed by using MATLAB simulation software. The result indicates that the BP neural network is a suitable tool for settling a complex nonlinearity relation problem, and it can be used for analyzing and estimating the fire system proposal.
出处
《火力与指挥控制》
CSCD
北大核心
2008年第10期127-129,134,共4页
Fire Control & Command Control
关键词
BP神经网络
坦克分队火力配系
方案评估
BP neural network,fire system for tank element,proposal evaluation
