向量值多复变随机幂级数

引入了向量值多复变随机幂级数的定义，研究了它的收敛性质，它是Saem-Zygmund定理的推广，给出了向量值多复变随机幂级数属于Hardy空间和L^p空间的充分条件。     

随机环境中强下临界分枝过程中的极限定理

通过对随机环境中伴有独立同分布的繁衍概率母函数序列分枝过程分析,求得过程在可积的假设下,其存活概率确切的渐近行为,而且证明了在Zn＞0的条件下,Zn有非退化的极限分布.     

基于变步长随机行走算法的IC电源网络动态分析

针对传统随机行走算法加速策略在处理大规模电源网络时存在局限性的问题, 提出一种基于变步长的随机行走加速算法. 首先, 基于不同节点数目和阈值大小的实验对比, 分析传统随机行走加速算法和变步长随机行走加速算法的时间效率, 并证明变步长随机行走加速算法使电源网络分析效率得到极大提高. 其次, 证明随机行走算法具有空间局部性特征, 能进一步使运行空间得到释放. 通过对不同规模电源网络进行实验验证表明, 该方法能使算法运行空间得到优化.     

Two Tales of Return Predictability: The Case of Asia–Pacific Equity Markets

If past prices can successfully predict future price movements, it would contradict the notion of weak‐form market efficiency. Return predictability can be assessed via a variety of random walk statistical tests or via the application of mechanical trading rules. Findings of return predictability and state of market efficiency are compared by applying a battery of popular random walk statistical tests and a large set of mechanical trading rules to a family of equity indexes in Asia–Pacific equity markets over a 20‐year period of time. Inferences drawn from different random walk based econometric tests of market efficiency often disagree among themselves and tend to exaggerate the extent of predictability in returns. Testing of return predictability via a set of mechanical trading rules allows one to account for a possible data snooping bias, error measurements due to nonsynchronous trading and market frictions such as trading costs. Persistent predictability of returns that cannot be explained by the combination of data snooping bias, nonsynchronicity bias and moderate level of transaction costs is found in just two emerging equity markets in the region. Copyright © 2016 John Wiley & Sons, Ltd.     

QBASIC中随机函数的应用

本文对ＱＢＡＳＩＣ中随机函数的特性做了充分的讨论．在此基础上,以随机抽取题库中若干试题为考试内容这一程序的设计为例,讨论了如何提高随机函数运行结果的随机性,产生完全随机数的问题．     

基本矩阵随机采样鲁棒估计

提出一种新的基本矩阵鲁棒估计算法:随机采样算法,对含有大量出格点的数据点集,利用7个对应匹配点的最小子集来估计参数;然后在不同的子集重复多次,确保任何一个子集都含有一个好的数据点的机率达到95%.最优估计值是残差低于门限值点数最多的子集,一旦从数据点集剔去出格点,利用没有出格点的数据就可以得到最终估计值.用真实图像测试表明该算法鲁棒性好,精度高.     

An overview of resistive random access memory devices

With recent progress in material science, resistive random access memory (RRAM) devices have attracted interest for nonvolatile, low-power, nondestructive readout, and high-density memories. Relevant performance parameters of RRAM devices include operating voltage, operation speed, resistance ratio, endurance, retention time, device yield, and multilevel storage. Numerous resistive-switching mechanisms, such as conductive filament, space-charge-limited conduction, trap charging and discharging, Schottky Emission, and Pool-Frenkel emission, have been proposed to explain the resistive switching of RRAM devices. In addition to a discussion of these mechanisms, the effects of electrode materials, doped oxide materials, and different configuration devices on the resistive-switching characteristics in nonvolatile memory applications, are reviewed. Finally, suggestions for future research, as well as the challenges awaiting RRAM devices, are given.     

基于化学成分的烤烟香型分类研究

本研究以全国清香型、浓香型、中间香型烤烟为研究对象,以6个区域24个C3F中部叶为分类样本,采用随机森林分类算法进行香型分类,结果表明：随机森林算法对烤烟香型起到了很好的区分作用,分类正确率达到了87．5％;基于随机森林分类的同时得到了分类变量在香型分类中的重要性,烟叶常规化学成份在香型分类中的重要性从高到低依次为：总钾→总氮→总糖→还原糖→总氯→烟碱．因此,随机森林分类可以用于烤烟的香型分类,同时也可以用于判断分类变量对分类目标的重要性程度．     

钢筋砼构件抗裂失效不定性及其可靠度模糊概率分析

本文利用概率论和模糊数学．分析影响结构构件抗裂失效的不定性因素．将构件抗裂失效认为是一复杂模糊随机事件．并提出了相应的可靠度模糊概率分析模型．最后本文结合算例介绍了用此模型计算抗裂失效概率Ｐ或可靠指标β的具体方法和步骤，其结果满足工程设计要求．     

用样条配点法求解反对称角铺设层合板响应的统计特性

工程结构中的复合材料层合板的几何参数往往具有随机性质.如何研究随机参数层合板响应 的统计特性,这对正确估计结构设计的可靠性有着非常重要的意义.用样条配点法,将复合材料层 合板结构离散后,应用Lagrange方程,建立了复合材料层合板的力学模型,研究了随机参数反对称 层合板响应的统计特性,推导出层合板位移、速度和加速度的标准差.在数值算例中,对于各种边界 条件,选择样条函数作为振型函数,用样条配点法求出了结构的位移响应量及统计特征值,并与 Newmark法进行了比较,验证了该方法的有效性.