基于BP神经网络的坦克炮火力威力评价模型

从分析不同型号坦克炮的主要性能指标入手,应用BP神经网络理论和方法探索其火力威力评价的问题.建立了坦克炮火力威力评价的BP神经网络模型,对原始评价指标进行了归一化处理,并构造了3组训练样本,利用MATLAB6.5中神经网络工具箱的图形用户界面GUI对评价指标和样本进行训练、仿真,并对结果进行比较.结果表明,BP神经网络模型能很好地解决评价指标与结果之间的非线性关系,评价坦克炮火力威力简便可靠,客观性强;研究结果可为坦克炮的进一步开发和研制提供理论参考.

Model of Appraising Firepower-might of Tank-gun Based on Back-Propagation Network

This paper proposes a new way to analyze the main function index of different Tank-guns,and applies the theories and methods of BP Neural Network to solve the problem of appraising Firepower-might of Tank-gun.The model of appraising Firepower-might of Tank-gun is established and based on Back-Propagation Network,the original data is dealt with Return a turn,and the model is exercised using the three date.By the GUI in Nerve Network Tool boxes in MATLAB6.5,the indexes and samples of valuation are trained and...