摘要
介绍了炸弹弹道拟合的几种模型,对各种模型的优缺点以及处理结果进行分析比较。提出采用径向基函数网络理论来处理炸弹弹道拟合问题,弹道与攻击条件的关系可通过神经网络的阈值和权值来表现。通过实例说明了应用径向基函数网络进行弹道拟合分析,不但具有算法可行性好、拟合精度高,而且具有运算简单,结果可靠的特点。
Several fitting model of ballistic trajectory has been introduced.The merits and approach result has been com- pared and analysis.The method of Radial Basis Function(RBF)has been brought out to deal with the problem.The re- lation between ballistic trajectory and attack condition can be displayed with threshold and weight of RBF.The results of simulation show that the RBF method not only has good feasibility and high precision,but also operation simple and credible.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第S2期354-356,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
高等学校博士学科点专项科研基金(20020699009)
关键词
神经网络
航空炸弹
弹道
拟合
Neural Network
Aviation bomb
Ballistic trajectory
Fitting
