文档介绍：2014-5题录英译集
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新型弹药可靠性评估方法
刘江,姚安东,王攀,郭宏
(中国人民解放军78618部队,成都 610100)
摘要:为了研究新型弹药可靠性评估方法,采用混合贝塔分布为先验分布的贝叶斯方法对某新型弹药进行可靠性评估。分析贝叶斯方法的适用条件,并将之推广到多先验情况。通过实例比较该方法与经典方法和使用贝塔分布为先验分布的贝叶斯方法的差异。结果表明:该方法能更为合理地用于新型弹药可靠度评定,充分利用产品先验信息,有效降低现场试验所需的样本量,很好地避免由于小样本数据被大量先验信息“吃掉”而导致评定结果的“冒进”现象。
关键词:新型弹药;贝叶斯方法;可靠性评估;混合贝塔分布
Reliability Evaluation Method of New Ammunition
Liu Jiang, Yao Andong, Wang Pan, Guo Hong
(No. 78618 Unit of PLA, Chengdu 610100, China)
Abstract: For researching new ammunition reliability evaluation method, use mixed Beta distribution as prior distribution Bayesian method to carry out reliability evaluation method for new ammunition. Analyze the application condition of Bayesian method, and use it to multi-prior condition. Compare the method with the classical method, and Bayesian method with Beta distribution by example. The results show that the method can be more effectively in new ammunition reliability evaluation, make full use of product prior information, reduces sample quantity in test. Therefore avoid small sample data are eaten large quantity of prior information and cause “premature advance” of evaluation.
Keywords: new ammunition; Bayesian method; reliability evaluation; mixed Beta distribution
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基于元胞蚂蚁算法的防空靶机航路规划研究
刘志强1,雷宇曜2,阳再清1
(1. 中国人民解放军92419部队,辽宁兴城 125106;2. 海军航空工程学院兵器科学与技术系,山东烟台 264001)
摘要:防空靶机飞行航路设计是实现靶机有效控制,确保高效完成供靶任务的保障。通过对靶机三维航路规划模型进行分析,给出了元胞蚂蚁算法的航路规划模型的求解方法及算法实现的具体流程,并分别应用蚁群算法和元胞蚂蚁算法进行仿真实验。结果表明:元胞蚂蚁算法克服了蚁群算法收敛速度慢、陷于局部最小值的缺陷,可得到较优的航路。
关键词:元胞蚂蚁算法;防空靶机;飞行航路
Route Planning of Anti-Air Target Drone
Based on Cellular-Ant Colony Algorithm
Liu Zhiqiang1, Lei Yuyao2, Yang Zaiqing1
(1. No. 92419 Unit of PLA, Xingcheng 125106, China; 2. Department of Ordnance Science & Technology,
Naval University of Aeronautics & Astronautics, Yantai 264001, China)
Abstract: The