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目标数据关联多因素分布式推理判决系统 ,是一基于分布式判决分类系统理论进行目标数据关联分析的大规模推理判决系统 ,在C3I系统中有着广泛的应用前景。本文在分析推理判决系统的推理规则类型和状态类型的基础上 ,给出系统的推理结构图 ,该推理结构是正关联神经推理结构 相似文献
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为了进一步提升设备维修决策的科学性,通过建立综合设备剩余寿命预测数据与不确定失效阈值的最优维修决策模型,实现了不可维修设备的最优替换策略.构建基于非线性Wiener过程的设备性能退化模型,并采用极大似然法估计退化模型参数;提出一种基于期望最大(Expectation Maximization,EM)算法的不确定失效阈值... 相似文献
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陈媛 《中国人民武装警察部队学院学报》2010,26(2):91-93
控制下交付作为打击毒品犯罪尤其是跨国有组织毒品犯罪的重要措施和手段,已发挥越来越重要的作用,是其他缉毒措施和手段无法取代的。但是,由于毒品犯罪的集团化、国际化、种类多元化程度加剧,使得控制下交付的复杂性与不确定性越来越明显。鉴于此,将AHP植入SWOT分析法中,以定性和定量相结合的科学方法解决控制下交付行动方案的优选问题,对提高控制下交付的成功率具有重要意义。 相似文献
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针对单一算法对混合尺寸目标进行时域电磁分析的困难,提出一种时域伪谱(PSTD)同时域有限体积(FVTD)混合方法。FVTD可方便地分析复杂的几何结构和材料,但是难以计算电大尺寸的目标,PSTD则特别适合计算电大尺寸的规则结构,但在模拟复杂的几何结构尤其是带有曲边结构以及电大、电小共存结构时存在困难。混合方法克服了单独算法的缺点,融合各自的优势,提高了算法的求解能力和应用范围。为了减小两种算法连接边界带来的反射,采用了FVTD计算面均值的二次函数重构方法,给出了交叠网格和非交叠网格两种混合方案。数值试验表明,混合方法有较高的精度,具有时域分析混合尺寸目标电磁问题的能力。 相似文献
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We consider the decision‐making problem of dynamically scheduling the production of a single make‐to stock (MTS) product in connection with the product's concurrent sales in a spot market and a long‐term supply channel. The spot market is run by a business to business (B2B) online exchange, whereas the long‐term channel is established by a structured contract. The product's price in the spot market is exogenous, evolves as a continuous time Markov chain, and affects demand, which arrives sequentially as a Markov‐modulated Poisson process (MMPP). The manufacturer is obliged to fulfill demand in the long‐term channel, but is able to rein in sales in the spot market. This is a significant strategic decision for a manufacturer in entering a favorable contract. The profitability of the contract must be evaluated by optimal performance. The current problem, therefore, arises as a prerequisite to exploring contracting strategies. We reveal that the optimal strategy of coordinating production and sales is structured by the spot price dependent on the base stock and sell‐down thresholds. Moreover, we can exploit the structural properties of the optimal strategy to conceive an efficient algorithm. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010 相似文献
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We consider the optimal control of a production inventory‐system with a single product and two customer classes where items are produced one unit at a time. Upon arrival, customer orders can be fulfilled from existing inventory, if there is any, backordered, or rejected. The two classes are differentiated by their backorder and lost sales costs. At each decision epoch, we must determine whether or not to produce an item and if so, whether to use this item to increase inventory or to reduce backlog. At each decision epoch, we must also determine whether or not to satisfy demand from a particular class (should one arise), backorder it, or reject it. In doing so, we must balance inventory holding costs against the costs of backordering and lost sales. We formulate the problem as a Markov decision process and use it to characterize the structure of the optimal policy. We show that the optimal policy can be described by three state‐dependent thresholds: a production base‐stock level and two order‐admission levels, one for each class. The production base‐stock level determines when production takes place and how to allocate items that are produced. This base‐stock level also determines when orders from the class with the lower shortage costs (Class 2) are backordered and not fulfilled from inventory. The order‐admission levels determine when orders should be rejected. We show that the threshold levels are monotonic (either nonincreasing or nondecreasing) in the backorder level of Class 2. We also characterize analytically the sensitivity of these thresholds to the various cost parameters. Using numerical results, we compare the performance of the optimal policy against several heuristics and show that those that do not allow for the possibility of both backordering and rejecting orders can perform poorly.© 2010 Wiley Periodicals, Inc. Naval Research Logistics 2010 相似文献
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