parameter matrix造句
例句与造句
- the relevant parameter matrix of pattern identification was achieved through a large amount experiments
并且通过大量的实验研究获得用于流型辨识的参数矩阵。 - admissibility of generalized least square estimator on the unknown parameter matrix in the extensive growth curve
推广的生长曲线模型中未知参数矩阵的广义最小二乘估计的可容许性 - the function parameter matrices were used to quantify the coordination and synergies in human movements, which is useful for the analysis of human movement control mechanism
通过函数参数矩阵对人体运动协调规律和协调元进行了量化描述，为揭示人体运动控制机理提供了手段。 - good simulation results are obtained by the appropriate choose of the state variance, definition of the external disturbance parameter, and adjustment of the coefficients parameter matrix
通过合理选择状态变量及定义外部扰动参数，以及对各系数矩阵参数的调节方法研究，得到了较好的仿真结果。 - the invariance of upper limb terminal was shown in the result and the affecting factors were discussed . function synergy among the upper limb joints angles was defined by using the fitting parameter matrix
指出了触点运动中上肢终端轨迹的不变性，探讨了终端轨迹和运动质量的影响因素，定义了上肢关节角度间的功能协调元。 - It's difficult to find parameter matrix in a sentence. 用parameter matrix造句挺难的
- through the equivalent transformation between the linear combination relation of the father-son state in the state equations and the incidence relation of the father-son state nodes in the weighted network, it is realizable to build the block contact of the general structure and the system state variable is the earliest starting time, and collect the incident matrices of the dividing branch nets in whole net, then the parameter matrices of the state space model are obtained
通过状态方程中父状态与各子状态之间的线性组合关系与块网中父状态结点和各子状态结点之间的带权父子关联关系之间的等价转换，实现以工序的最早开工时刻为状态变量的系统状态模块和泛模块的接口与提取总网“划分子网”的关联矩阵得到状态空间模型的参数矩阵。 - the main work and achievements are summarized as follows : based on herrmann variational principle and the nearly-incompressible viscoelastic constitutive relation, a new type of viscoelastic incremental finite element method is presented . in this method, incremental arithmetic is applied to solving the hereditary integrals . it needs less memory space, has simple parameter matrix, and calculates stiffness matrix only once
主要研究内容如下：从herrmann变分原理出发，基于适用于近似不可压缩材料的粘弹性本构关系，利用增量法处理遗传积分，发展了一种粘弹性增量有限元方法，所需存储空间较少，参数矩阵形式简单，求解过程只需要形成一次刚度矩阵，适用于药柱的结构计算，奠定了确定性分析基础。 - we make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents . considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated . next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet-ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given
当0时，众多文献讨论了回归系数阵的各种估计及lse的有效性，本文考虑了当0的情形，给出了回归系数阵b及其可估参数函数kbl的在矩阵非负定意义下的最优估计(blue)，研究了它的一个最大概率性质，并且讨论了最小二乘估计成为最佳线性无偏估计的充分必要条件，在此基础上给出了均值矩阵的最小二乘估计与blue的偏差估计，定义了lse相对于blue的一个相对效率，并给出了它的界。 - first, using the scale-invariant property of multiscale model, i . e . markovian among scales, a method of qth-order tree-based for multiscale representation of a class of 1-d stochastic process is presented . the multiscale stochastic model is established . the representation forms of parameter matrices, such as, the state transition matrix, the disturbance matrix, the initial state and the corresponding covariance matrix are deduced in detail
本文在已有工作的基础上，开展了以下几个方面的研究工作：1、根据多尺度模型尺度不变性，即利用尺度间的markov性，给出了一类1-d随机过程基于一般q阶树的多尺度表示方法，建立了相应的多尺度动态模型，详细推导了多尺度模型中的状态转移阵、扰动阵、初始状态和相应的协方差阵，并通过计算机仿真给出了不同阶树的多尺度采样路径。 - a . p . verbyla and w . n . venables ( 1988 ) extended the ordinary growth curve model into the extension of growth curve model and obtained an estimate of the unknown parameter matrix under the conditions that the matrix of observations follow multivariate normal distribution, where every design matrix has full column rank [ 7 ]
a.p.verbyla和w.n.venables(1988)将gc模型进行了推广，得到了推广增长曲线模型(theextensionofgrowthcurvemodel简称egc模型)，并在观察矩阵服从正态分布，各设计矩阵均为列满秩的条件下，给出了参数矩阵估计值的一种算法。 - the second is to assure a multiple-parameter matrix characteristic equation has no nonzero pure imaginary roots . the key of this part is to verify that the structured singular value of a one-unknown matrix function is not equal to one . this work can be accomplished by a frequency sweeping test method
前者的核心是判定某常矩阵的结构奇异值不等于1，这只需计算常矩阵的结构奇异值；后者的核心是判定某个以频率为变元的矩阵的结构奇异值不等于1，这一问题由频率扫描测试法解决。