基于动量BP神经网络的确定掩护重点问题研究

确定掩护重点是地面防空作战的一个重点和难点问题。通过分析影响确定掩护重点问题的主要因素,建立评价指标体系,利用动量BP神经网络解决了确定掩护重点的评价模型,并采用MATLAB6.5的神经网络工具箱进行仿真实现。方法较好地降低主观误差,为确定被掩护目标重要性排序和兵力分配提供了依据。通过对BP算法的改进,减少了误差,提高了学习速度。模型思路清晰,算法简单实用,较好地解决了防空兵辅助决策系统智能确定掩护重点目标的问题。

Research on Determining the Protecting Focal Project Based on Momentum BP-NN

It is an important and difficult problem to determine the protecting focal objects. Analyzing the leading influence factions of this problem, this paper sets up an estimate system, and establishes a model to solve it with momentum BP-NN. This model has been simulated with NN toolbox MATLAB 6.5. The result shows that the method is effective to reduce personal error, and provides some basis for determining the collation of importance and troop distributing of protecting objects. By modifying the algorithm of BP, it improves the learning speed and reduces errors. This model is provided with clear train of thought and simple arithmetic for use. It is a good way to intelligently determine the important objects with assistant decision-making system.