大规模弹道仿真时运用传统的诸元解算方法计算量大且耗时久,难以满足作战快速响应的需求。文中通过构建弹道曲线的主要影响因素与时间的方程,研究方程系数与发射参数之间的关系,提出了基于BP神经网络算法快速拟合方程系数的方法,从而快速拟合出弹道曲线。经试验仿真,该方法在进行多条弹道解算时比传统诸元计算方法快速高效,可适应于大规模弹道仿真。

As for large-scale ballistic simulation, traditional data solution costs much time and calculation, can hardly satisfy the requirement of fast operation response. In this article, an effective curve coefficient fitting method was put forward based on BP NN via constructing equation of main factors of ballistic curve and time, studying the relationship between equation coefficient and launching parameter, the missile curve was fit quickly. The simulation result shows that this method is more effective than the method of traditional data solution for calculating multiple trajectories.