摘要
以某远程武器射击密集度鉴定问题为对象,研究了运用Bayes理论从仿真试验数据中提取有用信息,从而实现在少量试验样本情况下有效完成射击密集度试验鉴定任务的方法。将最大熵法应用于射击密集度估计,介绍了运用自助(Bootstrap)法从仿真试验结果中获取验前信息的基本思想和一般方法,以及在获得验前信息后结合现场试验样本进行射击密集度鉴定的方法。
This paper discusses how to make good use of the useful information gained from the results of the simulation experiments so as to accomplish the dispersion of fire evaluation of a long range weapon system in case the real experiment sample is small, by using bayesian method. The maximum entropy method is used to evaluate the dispersion of fire. How to get the prior information from the results of simulation experiments through the bootstrap method and how to practice the posterior test subsequently are introduced.
出处
《火力与指挥控制》
CSCD
北大核心
2007年第3期56-58,61,共4页
Fire Control & Command Control
基金
中国博士后科学基金资助项目(20060400943)
江苏省博士后科研计划资助项目(0602019B)
关键词
射击密集度
最大熵法
自助法
BAYES
dispersion of fire ,maximum entropy method, bootstrap method, bayesian method
