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modular matrix相关的网络例句

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At first,local connectivity matrix is derived from the modified fuzzy Gabriel graph,then this matrix and the assumptive prototype of global data distribution are used to construct a new clustering performance criterion.

首先用改进的模糊Gabriel图得到样本数据的局域连接矩阵,然后它和数据的全局分布原型假设一起构造新的聚类准则。

Second, when the system does not satisfy such detectability but satisfy other conditions, there is a gain matrix ensuring the asymptotic convergence of the observer error, and the sufficient conditions and the method of solving gain matrix are obtained similarly.

其次, 当系统不满足该可检测性,但满足其它条件时,仍存在使得观测误差渐近收敛的增益矩阵,并类似地得到了增益矩阵满足的充分性条件和计算方法。

Chapter 9: We report a large quantity of numerical experiments of 13 different algebraic multigrid algorithms for solving the Poisson equation, anisotropic equation, equation with cross-derivative terms, general matrix problems with large off-diagonal positive entries, biharmonic equation, Toeplity matrix, elasticity systems, finite element discretization of the Laplacian and even 3D problems. Particular attention is focused on asymptotic convergence factors and CPU-time consumed. Numerical results for many different types of practical problems demonstrate the efficiency and robustness of the proposed algebraic multigrid methods.

第九章:在各种代数多重网格算法的基础上,进行了大量的数值试验,具体给出了十三种不同的代数多重网格方法求解泊松方程,各向异性方程,带混合导数项的方程,带有大的非对角正元素的一般矩阵问题,重调和方程,托普利兹矩阵,弹性力学方程组,拉普拉斯算子的有限元离散,甚至三维问题的较为丰富的数值结果,重点关注它们的渐近收敛因子和所需的CPU时间,来源于不同类型问题的计算结果既为代数多重网格理论分析和算法的改进提供了很实用的资料,同时也证实了本文给出的代数多重网格算法的效绩和稳健性。

In our study on the quantitative Auger analysis three main matrix effects, the escape depth λ, atomic density n and the backscattering factor R, which is the most important matrix parameter, are considered.

本文对信息深度范围内可视作均匀的多元合金,提出一种新的定量俄歇分析方法。

To avoid or reduce re-analysis, we derived the augmentative matrix variation only in summation of the previous matrices time the outside-perturbed parameters by decomposing the element stiffness and mass matrix. The implicit function of amplitude about design variables such as cross-areas and lengths is changed into simplistic function about the perturbed parameters of design variables. Several methods for determining the value of perturbed parameters are detailed.

为避免或减少重分析,将有限元单元阵进行了分解变换组装,使振幅与设计变量如截面面积、长度的复杂隐函数关系转化为对设计变量摄动参数的显式关系,进而将设计变量摄动参数提取在分解后的几个常数刚度阵、质量阵之外,避免了在迭代求解过程中重组刚度阵与质量阵,较快地获得问题的解。

Moreover, the definitions of the first class of weak controllable matrix and its augmented matrix are given.

非线性系统Ⅰ型弱能控矩阵在计算上可能是相当繁复、不够实用的,有必要加以化简。

With this method, the controller of the PWM DC/DC converter is designed. Utilizing augmented matrix to build a tracking control model with no steady error, and through select weighted matrix to perform the no overshoot and dynamic response of system.

通过引入增广矩阵,增加了控制量U*中对误差的积分环节,推导了无静差跟踪控制系统模型;在目标函数的构成参量和形式确定之后,通过选取适当的加权矩阵,实现系统的无超调动态响应。

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中,常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失,因此,本文提出了新的有益思想,即在保留一定相关性的基础上进行辨识:将输出向量ΔW与环境函数矩阵S构成增广矩阵A,然后采用"比定阶行列式"来剔除相关向量的方法,这样既可以尽可能多地保留了对落点影响大的强相关参数,又可以对落点影响小的强相关参数给予剔除;在参数估计中,改进了特征根估计中特征根和特征向量的筛选方法,提出"近零"准则,从而大大提高了参数估计的精度;再者,鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的,因此,本文又深入分析了造成天地模型不一致的原因,提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验;最后,鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响,因此本文深入地分析了SINS制导工具误差系数与外界环境的关系,提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

Using SUSAN formed SIFT and ladder-image pyramid structure to achieve the same scale,new algorithm establish a unified set of over-determined equations of all match points.The over-determined linear equations coefficient matrix can be simplified to drop dimension,so simplify the structure of the augmented matrix and whose dimension is reduced to half.

研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简化使其维数降低一半,得到增广矩阵。

People have proposed many different control method to realize the chaos synchronization. This article has conducted the thorough research to the chaotic neural network, introduced the chaos neural network synchronization method. Based on the linear matrix inequality technology and Lyapunov stability theory, we have Studied the synchronized controller design method of the global synchronization, the non-linear global synchronization and the global exponential synchronization. Here we have proposed one kind of synchronization algorithm, through which might obtain the gain matrix quickly and automatize.

本文对混沌神经网络进行了深入的研究,介绍了混沌神经网络同步方法的发展及研究现状,基于线性矩阵不等式技术和李雅普诺夫稳定性理论,分别研究了全局同步、非线性全局同步和全局指数同步的同步控制器实现方法,提出了一种实现混沌神经网络同步的算法,通过该算法可以快速得到增益矩阵的形式,实现混沌系统的同步控制,数值仿真验证了算法的有效性。

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