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防空导弹杀伤概率评估方法研究 总被引:3,自引:0,他引:3
根据防空导弹主要打击对象的共同特点假定一个目标 ,通过分析战斗部爆炸后产生的有效破片、破片覆盖面、破片总数和平均面密度 ,应用simulink绘出了防空导弹杀伤概率仿真曲线。 相似文献
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兰侠 《军械工程学院学报》1989,(2)
本文提供了一种在弹药破片杀伤面积的估算中,求取微元内破片平均杀伤概率估值的新方法,这种方法可以保证在较小工作量的条件下提高估值精度. 相似文献
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弹炮结合武器效能仿真的毁伤模型 总被引:1,自引:0,他引:1
针对弹炮结合武器和所拦截空中目标的特点,探讨建立弹炮结合武器仿真的毁伤模型.分析了目标的轨迹特点,建立了空间杀伤区的表示模型,针对不同的俯冲攻击倾角,分别建立了详细的拦截纵深模型,最后给出了导弹和高炮武器分系统的可拦截次数模型.该模型能较精确地对毁伤效能进行仿真. 相似文献
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针对模糊综合评判法在告警器评估时的有效评估问题,对评估过程的指标赋权、隶属度、信息集合算子进行了研究,提出了一种改进的适合告警器的模糊综合评判方法。该方法根据最小二乘原理和离差函数,把目标规划方法应用到组合赋权之中,充分考虑了权重的主客观因素;建立了基于隶属云的评估模型,用隶属云代替隶属函数,保留了隶属度的随机特性;提出了将密度加权平均(Density Weighted Average,DWA)算子用到信息集结中,充分利用了所有的评估信息。通过对某型机载雷达告警器的有效评估,表明了该方法的合理性。 相似文献
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We consider the problem of assessing the value of demand sharing in a multistage supply chain in which the retailer observes stationary autoregressive moving average demand with Gaussian white noise (shocks). Similar to previous research, we assume each supply chain player constructs its best linear forecast of the leadtime demand and uses it to determine the order quantity via a periodic review myopic order‐up‐to policy. We demonstrate how a typical supply chain player can determine the extent of its available information in the presence of demand sharing by studying the properties of the moving average polynomials of adjacent supply chain players. The retailer's demand is driven by the random shocks appearing in the autoregressive moving average representation for its demand. Under the assumptions we will make in this article, to the retailer, knowing the shock information is equivalent to knowing the demand process (assuming that the model parameters are also known). Thus (in the event of sharing) the retailer's demand sequence and shock sequence would contain the same information to the retailer's supplier. We will show that, once we consider the dynamics of demand propagation further up the chain, it may be that a player's demand and shock sequences will contain different levels of information for an upstream player. Hence, we study how a player can determine its available information under demand sharing, and use this information to forecast leadtime demand. We characterize the value of demand sharing for a typical supply chain player. Furthermore, we show conditions under which (i) it is equivalent to no sharing, (ii) it is equivalent to full information shock sharing, and (iii) it is intermediate in value to the two previously described arrangements. Although it follows from existing literature that demand sharing is equivalent to full information shock sharing between a retailer and supplier, we demonstrate and characterize when this result does not generalize to upstream supply chain players. We then show that demand propagates through a supply chain where any player may share nothing, its demand, or its full information shocks (FIS) with an adjacent upstream player as quasi‐ARMA in—quasi‐ARMA out. We also provide a convenient form for the propagation of demand in a supply chain that will lend itself to future research applications. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 515–531, 2014 相似文献
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在较弱的条件下,研究了一类非平稳高斯序列的几乎处处中心极限定理.设{Xa,n≥1}为一非平稳高斯序列,记其协方差为rij=Cov(Xi,Xj).假设该序列满足如下条件:对充分大的n,若存在0<α<1当|i-j|>nα时,rijlog|j-i|(l0glog|j-i|)1+ε一致有界.在这一条件下,通过利用概率极限理论,... 相似文献
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