摘要
针对武器装备可靠性分布类型难以确定这一难题,总结了识别武器装备可靠性分布类型的传统计算方法,建立了基于柯尔莫哥洛夫-斯米尔诺夫检验法(K-S检验)的识别模型,并给出了识别可靠性分布的软件流程图,开创性地将人工神经网络应用于武器装备可靠性分布类型的识别,并通过建立基于Matlab的仿真模型,证明了该方法的合理性和科学性.
According to the problem that reliability distribution of weapon equipment is ambiguous,traditional calculation methods of identifying the types of reliability distribution of weapon equipment are sumed up,and the identifying model based on K-S test method is built up. Then, the software flow chart of identifying reliability distribution is set out. ANN is applied to identify the types of reliability distribution of weapon equipment firstly. According to the simulation model based on Matlab, the method' s rationality and scientificity are verified.
出处
《战术导弹技术》
北大核心
2005年第2期31-35,59,共6页
Tactical Missile Technology
