中文摘要：

克服了传统算法带来的不足，采用神经网络的BP算法进行仿真计算，得到弹药需求与武器生存能力、射击精度、目标类型、目标毁伤程度等相关因素的内在联系，反映了弹药实际需求与多种外部因素的复杂的非线性关系，对战时的弹药供应决策具有重要意义．

英文摘要：

In order to get over the shortage of traditional method, based on the BP neural network, the inner relation was got among the demand of ammunitions and correlation factors such as the viability of weapon, the precision of shoot, types of targets and the damage degree of targets. The simulation results reflect the complex non-linearity relation between the practicality demand of ammunitions and many exterior factors, so these method and result have the important significance on the decision-making of ammunition supplying in war.