这些参数应用与那些达到66%的置管率的患者人群和同一群当前同时建立了血管通路的患者的混合群体。
These parameters were applied to a cohort of patients who meet the 66% AV fistula target and an identical cohort with the current vascular access case mix.
主要考虑非线性波方程组的一些简单对称及其构成的李代数，并利用所得对称给出该方程组的一些单参数变换群。
In this paper, the symmetries and Lie algebra of a coupled nonlinear wave equation were discussed. One-parameter transformation groups of this equation were obtained by using the symmetries.
在计算电缆群载流量时，交流电阻是一个重要的参数，其中邻近效应是计算交流电阻的一部分。
Ac resistance of cable conductor is an important factor to calculate the ampacity of cable bundles, and proximity effect factor is an important parameter to affect ac resistance.
为了解决传统高斯混合模型（GMM）对初值敏感，在实际训练中极易得到局部最优参数的问题，提出了一种采用微粒群算法优化GMM参数的新方法。
The traditional training methods of Gaussian Mixture Model(GMM) are sensitive to the initial model parameters, which often leads to a local optimal parameter in practice.
提出一种具有逻辑时序特征的微粒群优化算法，并将其应用于半导体封装生产线的工序参数优化中。
A kind of particle swarm optimization method with the characteristic of logical time-sequenced is proposed and applied to procedure parameters optimization of semiconductor assembly product line.
本文简要计算并分析了钆可燃毒物热群参数、能谱随燃耗变化的特性。
This paper represents the analysis and calculation of thermal group parameters of gadolinium oxide as burnable poison, and characteristics of energy spectrum with change of burnup.
为了保证获得最优水轮机PID调节器参数，本文研究了利用微粒群优化（PSO）算法进行参数优化设计的新方法。
To gain optimization parameters of hydro turbine PID governor, this paper interprets the approach of optimization designing that uses the Particle Swarm Optimization (PSO) algorithm.
尤其是在对子母弹子弹群的近地弹道参数及落点的测量中，通过后期处理，可快速精确地报出各子弹的落点坐标。
Particularly for the measurement of near-earth ballistic parameters and impact points of shrapnel, it can accurately report the impact point coordinates of various bombs through post-processing.
计算结果表明，微粒群算法具有概念简单、容易实现、计算速度快等优点，适合应用于面板堆石坝坝料参数反演分析。
The results indicate the validity of improved PSO methods in the back analysis of the mechanical parameters of concrete face rock-fill dam.
本文应用非线性规划，优选规划阶段的水电站群的主要设计参数，并提出了相应的数学模型和算法。
On the basis of existing mathematical models of choosing reservoir parameters, this paper for the first time suggests the use of nonlinear pro-gramming(NLP)model.
通过大量的科研设计，确定地下洞室群尤其是主厂房的施工程序和支护参数。
Based on a large number of studies, the construction procedures and supporting parameters for underground caverns, especially the main powerhouse, are determined.
最后，针对模型的具体特点，设计模型解的编码方式，并采用基于云模型的参数自适应蚁群遗传算法进行仿真，结果表明了模型和算法的有效性。
At last, an effective algorithm model taking advance of a skillful encoding method is designed and called ACGA with self-adaptation adjustment of parameters based on cloud models.
该方法克服了基本蚁群算法的不足，能够满意地实现PID控制参数优化。
This method not only overcomes the shortage of basic ant colony algorithm, but also perfectly realizes the optimization of PID control parameter.
采用蚁群算法对食品机械四杆机构进行最优化设计，分析建立杆尺寸间的几何联系，并结合具体实例确定四杆机构各个参数。
The ant colony algorithm was used to carry on optimization design of four-bar mechanism for food machinery, analyzing and building the geometric relation between the linkage.
在利用活化法进行中子能谱测量中，活化箔的多群截面是必须的输入参数之一。
The multiple group cross sections are indispensable when we want to obtain the neutron spectrum by multiple foil activation method.
提出椭圆旋转对称群，它是一个单参数阿贝尔群。
The ellipse rotating symmetric group is proposed, which is an Abelian group.
针对传统的PID控制器参数多采用试验加试凑的方式由人工进行优化，提出了一种新型的基于蚁群算法的PID参数优化策略。
In light of traditional PID controller parameters optimization with manual cut-and-try method, a novel kind of PID parameters optimization strategy based on ACA (Ant Colony Algorithm) was proposed.
提出一种两群替代微粒群优化算法(TSSPSO)，并对算法参数进行分析和对算法方程进行修正。
In this paper, two sub-swarms substituting particle swarm optimization algorithm (TSSPSO) is proposed. The algorithm parameters are analyzed and the iteration equations are amended.
将单孔示踪方法应用于群孔之中，结合裂隙岩体的走向、倾角、裂隙分布等参数，确定出研究区域的裂隙岩体中的渗流场分布。
In combination with fissured rock strike, dip Angle and distribution seepage flow in fissured rocks is determined by use of single well tracer method for the area under study.
为使蚁群优化算法在应用中发挥最佳的寻优性能，提出带有动态参数决策模型的改进蚁群优化算法。
In order to improve the performance of ACO algorithm, an ACO algorithm with the dynamic parameter decision model was presented in this paper.
介绍了一种新的集群智能算法-微粒群算法(PSO)，该算法具有实现简单、参数少且收敛快的特点。
A new algorithm of swarm intelligence, Particle swarm Optimization (PSO), which is an algorithm of simple implementation and fast convergence with few parameters, is introduced in this paper.
本文分析了1976年春季山东庙岛群岛的两次小震群的活动特征，给出了部分小震震源参数、波速比、（?）
In this paper the characteristics of two small earthquake swarms at Miaodao Archipelago, Shandong in Spring 1976, have been analysed.
将蚁群算法应用于汽车牵引力pid控制参数整定控制器设计。
The ant colony algorithm was used to design PID controller of traction control system, whose parameters could be adjusted automatically.
通过对蚁群优化算法各操作参数作用与意义的分析，将蚁群优化算法的参数设定描述为一个多因素多水平优化设计问题。
By analyzing the function and significance of parameters, the parameter setting of ACO algorithm can be described as a multifactor and multilevel optimization problem.
您可以设置所有参数，包括交易时间及每个用户群金融工具的详细所有权资讯。
You can set all parameters, including the transaction time and each user group of financial instruments detailed proprietary information.
您可以设置所有参数，包括交易时间及每个用户群金融工具的详细所有权资讯。
You can set all parameters, including the transaction time and each user group of financial instruments detailed proprietary information.
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