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random dependence相关的网络例句

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与 random dependence 相关的网络例句 [注:此内容来源于网络,仅供参考]

Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.

首先比较全面分析了目前测量数据处理理论的研究现状,讨论了牛顿类方法在处理非线性模型参数估计方面的特点,研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法,这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降

First, the time series model of the random road roughness running by construction machinery is built up based on the measured data of the random road roughness and by means of the basic theory and method of the time series analysis. A real-time parameter estimation method of fuzzy weighted recurrence least square algorithm is represented through analyzing the conventional recurrence least square algorithm. Then, the new recurrence algorithm and the on-line tuning method of the weighted matrix are given out, and computer simulation is performed.

首先,以实测的地面随机不平度数据为依据,应用时序分析的基本理论和方法,建立了工程机械行驶地面随机不平度的时间序列模型,并在分析传统参数估计方法递推最小二乘算法的基础上,提出了模糊加权递推最小二乘算法的参数实时估计方法,给出了在此基础上的递推算法及加权矩阵的实时在线整定方法,并对其进行了计算机仿真研究。

Chapter 2 investigates the convergence of triple and n -ple Dirichlet series, the convergence of triple random Dirichlet series under certain conditions, and the convergence of double bi-random Dirichlet series under the conditionand obtains some results similar to double Dirichlet series.

此外还在条件 sum from m=1 to +∞ sum from n=0 to +∞ P{|X_|≥m~pn~p}<+∞下,研究了二重双随机Dirichlet级数的收敛性,得到了一些类似于二重Dirichlet级数的有关结论。

The algorithm handles the objective function and constraints separately, and adopts both directional and random search mechanism. It can avoid falling into local optimal point, which may appear in previous bionics random algorithms due to uncertainness of some parameters and/or without guiding search direction.

该算法将目标函数与约束条件分开处理,采用兼具方向性和随机性的搜索机制,避免了已有仿生类算法由于一些参数难以确定和无引导性的搜索方向而陷入局部最优的问题。

By Karhunen-Loeve expansion, the random processes of physical parameters such as the channel length and the oxide thickness with spatial correlations are transformed to a set of uncorrelated random variables.

利用卡洛展开(Karhunen-Loeve expansion)将通道长度和氧化层厚度这类具有空间相关随机过程的物理参数转换成一组无相关性的随机变数。

Structural reliability usually is analyzed in Descartes coordinates in which the correlated random variables should be converted to uncorrelated random variables by an orthogonal transformation method.

针对正交空间内,对相关随机变量的可靠指标求解时,需要做正交变换的缺点,研究了广义随机空间内结构可靠指标的计算方法,首次提出了广义随机空间内结构可靠指标计算的随机有限元法。

This random variable can be derived from a (0,1) uniformly distributed random variable according to a given distribution.

按照给定的分布,这一随机变量能由(0,1)均匀分布的随机变量加以变换得到。

In this paper, a new random algorithm is introduced for the classical problem of estimating the cardinality of a union of sets, which only needs pair -wise independent random input.

仅用成对独立的随机变量作为输入,得到了一个关于估计并集的基的问题的随机算法。

In a probabilistic analysis of unrepairable systems, system behavior is described by reliability and mean time to failure, in which the reliability is defined by the probability of the random event "system is functioning at time t", and MTTF the expected value of random lifetime of system.

衡量不可修系统可靠性的指标主要是系统可靠度和平均寿命。其中系统可靠度定义为不可修系统在t时刻仍正常工作的概率,平均寿命定义为不可修系统寿命的期望值。

Considering the specialty of pseudo-random vector, a partial scan algorithm for BIST, which unifying the structure analysis and testability analysis, is presented in this paper. Then, the fault simulation experiments on ISCAS89 benchmark circuits by this algorithm is made, and the results, which made by the full scan algorithm and the partial scan algorithm only based on the structure analysis, is compared. The conclusion is achieved: for pseudo-random vector, compared with the full scan circuit and the circuit geted by partial scan algorithm only based on the structure analysis, the circuit geted by our partial scan algorithm can greatly reduce the test time with very close or even greater faults coverage and less area than the full scan.

考虑到伪随机测试向量的特殊性,本文借鉴确定性测试向量生成的部分扫描算法,在内建自测试环境中,提出一种综合结构分析和可测性分析的部分扫描算法,PSBAST,并运用此算法对ISCAS89 benchmark电路进行计算,并对经计算后得到的部分扫描电路进行故障模拟,最后将模拟结果与全扫描电路和一种仅考虑结构因素的部分扫描算法得到的结果进行详细分析和比较,结果表明:对于伪随机测试向量,相对于全扫描电路和由仅考虑结构因素的部分扫描算法得到的电路,本文提出的部分扫描算法得到的电路,能够在不低于全扫描结构故障覆盖率前提下,大幅度减少测试时间,并能降低测试面积开销。

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