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排序方式: 共有425条查询结果,搜索用时 15 毫秒
321.
针对当前武器优化分配算法缺少通用性,难以兼顾效率和时间的问题,提出了一种通用型舰载防空硬武器火力优化算法。该算法首先提取各舰载武器能够攻击的目标集合,然后对各武器的目标集合逐一进行时间分配,并计算对目标的毁伤概率,最终完成所有武器的分配。计算表明,该算法具有很好的通用性和实时性,可适用于较大规模舰载防空硬武器的火力优化分配问题。 相似文献
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为简化炸点均匀分布条件下对集群目标射击效率计算的表达式,采用"化四个象限积分为一个象限积分"的方法,导出射击幅员在正面和纵深上覆盖集群目标比值数学期望的积分表达式,在此基础上讨论对单个目标毁伤概率计算公式和对集群目标毁伤百分比计算的近似公式,导出射击幅员在正面和纵深上覆盖集群目标比值二阶矩的积分表达式,给出了对集群目标射击效率的算例。结论改进了对集群目标射击效率计算的方法。 相似文献
324.
星间激光通信系统主要分为捕获,瞄准,跟踪(APT)技术,其中捕获技术是星间激光通信系统实现通信的前提和保障,本文通过对传统凝视-扫描模式下信标光的粗瞄捕获原理,关键技术和工程应用等内容进行了详细的研究,提出了一种粗瞄与精瞄相互结合的螺旋-正弦复合扫描的方法,对该方法扫描过程中的数值分析表明,相比传统的单一粗瞄扫描方式,粗精复合扫描方法的扫描漏扫区域比单一粗扫描漏扫区域小,捕获概率更高,捕获时间短,为星间激光通信扫描捕获过程提供了一种新的扫描方式,具有重要的意义。 相似文献
325.
Stochastic call center staffing with uncertain arrival,service and abandonment rates: A Bayesian perspective
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In this article, we introduce staffing strategies for the Erlang‐A queuing system in call center operations with uncertain arrival, service, and abandonment rates. In doing so, we model the system rates using gamma distributions that create randomness in operating characteristics used in the optimization formulation. We divide the day into discrete time intervals where a simulation based stochastic programming method is used to determine staffing levels. More specifically, we develop a model to select the optimal number of agents required for a given time interval by minimizing an expected cost function, which consists of agent and abandonment (opportunity) costs, while considering the service quality requirements such as the delay probability. The objective function as well as the constraints in our formulation are random variables. The novelty of our approach is to introduce a solution method for the staffing of an operation where all three system rates (arrival, service, and abandonment) are random variables. We illustrate the use of the proposed model using both real and simulated call center data. In addition, we provide solution comparisons across different formulations, consider a dynamic extension, and discuss sensitivity implications of changing constraint upper bounds as well as prior hyper‐parameters. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 460–478, 2016 相似文献
326.
Determination of the gunfire probability of kill against a target requires two parameters to be taken into consideration: the likelihood of hitting the target (susceptibility) and the conditional probability of kill given a hit (vulnerability). Two commonly used methods for calculating the latter probability are (1) treating each hit upon the target independently, and (2) setting an exact number of hits to obtain a target kill. Each of these methods contains an implicit assumption about the probability distribution of the number of hits‐to‐kill. Method (1) assumes that the most likely kill scenario occurs with exactly one hit, whereas (2) implies that achieving a precise number of hits always results in a kill. These methods can produce significant differences in the predicted gun effectiveness, even if the mean number of hits‐to‐kill for each distribution is the same. We therefore introduce a new modeling approach with a more general distribution for the number of hits‐to‐kill. The approach is configurable to various classes of damage mechanism and is able to match both methods (1) and (2) with a suitable choice of parameter. We use this new approach to explore the influence of various damage accumulation models on the predicted effectiveness of weapon‐target engagements. 相似文献
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《防务技术》2020,16(1):208-216
As the generalization of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS), the q-rung orthopair fuzzy set (q-ROFS) has emerged as a more meaningful and effective tool to solve multiple attribute group decision making (MAGDM) problems in management and scientific domains. The MABAC (multi-attributive border approximation area comparison) model, which handles the complex and uncertain decision making issues by computing the distance between each alternative and the bored approximation area (BAA), has been investigated by an increasing number of researchers more recent years. In our article, consider the conventional MABAC model and some fundamental theories of q-rung orthopair fuzzy set (q-ROFS), we shall introduce the q-rung orthopair fuzzy MABAC model to solve MADM problems. at first, we briefly review some basic theories related to q-ROFS and conventional MABAC model. Furthermore, the q-rung orthopair fuzzy MABAC model is built and the decision making steps are described. In the end, An actual MADM application has been given to testify this new model and some comparisons between this novel MABAC model and two q-ROFNs aggregation operators are provided to further demonstrate the merits of the q-rung orthopair fuzzy MABAC model. 相似文献
329.
腐蚀是引起管道事故的一个主要原因,我国在役长输管道大部分腐蚀严重,因此有必要对含缺陷管道的腐蚀失效概率进行评定.由于B31G规范评定结果偏于保守,因此采用修正的B31G规范对腐蚀缺陷进行评定,考虑到腐蚀缺陷有关参数的不确定性,利用Monte-Carlo法计算含缺陷管道的腐蚀失效概率.通过对一段实际管道腐蚀失效概率的计算,验证了Monte-Carlo法的可行性. 相似文献
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