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This dissertation applies 3-D finite element theory to development of the shape functions and stiffness matrixes of the triangular prism isoparameter elements (6 to 15 nodes). A calculating method for Gaussian integral in triangular prism is presented.

本文应用三维有限元理论,构造了一类五面体6~15节点单元的形函数,提出了在五面体单元内的Gauss积分处理方法,建立了相应的单元刚度矩阵,将其与六面体8~21节点单元结合,可用于计算焊接钢结构的应力场。

This article is based on the position weight matrix scoring algorithm of correlation of triplet transcription factor binding sites prediction method.

本文是基于位置权重矩阵打分函数算法预测碱基关联三联体转录因子结合位点的方法。

This thesis concerns convergence theorems and truncation error bounds for all kinds of continued fractions with applications to matrix function computation.

这扁论文讨论了各类连分式的收敛性与误差估计以及它在矩阵函数计算方面的一些应用。

The matrix inhomogeneous eigenvalue problem is widely applied in mathematics and many other fields,for instance,the studies of the stability of solutions of linear differential equations and the stationary values of a second-degree polynomial on the unit sphere,and the constrained eigenvalue problem and so on.

矩阵非齐次特征值问题在数学和其他领域里有许多应用,如线性微分方程组解稳定性研究,球面上二次函数的稳定点求解及约束特征值问题等。

Fault diagnosis architecture based on adaptive neural networks for a class of unknown nonlinear systems with unmeasured states is proposed.

针对一类模型未知及状态不可测的非线性系统,提出了基于自适应神经网络的故障诊断策略,不仅在线估计神经网络的矩阵权重,而且在线估计高斯函数的宽度和中心。

The switching law is assumed to be unobservable Markov process.

对于切换律是可观测的情形,利用线性矩阵不等式和共同2次Lyapunov函数的方法,给出具有参数不确定的切换系统2次镇定的充分条件。

The method uses expansion in terms of scaling functions to approximate the axial field component and transforms the field equation into a matrix equation by applying a variational formulation.

在该方法中,用尺度函数把场分量近似为级数,通过变分公式把波导问题化为矩阵方程。

Activation function of neurons is introdued to the hidden layer to get a well-conditioned matrix of output layer for solving the linear equations aiming at determining the connection weights.

隐层引入了δ激活函数神经元,这样可获得输出层求解用于确定连接权值的线性方程组的良态矩阵。

Firstly, the target vector is transformed to the state with minimization of cross-polarization; then the parameters u/v/H are used to characterized scattering mechanism, and the fuzzy membership is adopted instead of "hard" division of parameter plan; finally, characterizing the coherency matrix as multivariable complex Wishart distribution, the polarimetric SAR image is classified based on Bayes maximum likelihood criteria.

该文提出了一种新的非监督分类算法,该算法首先根据去取向理论,将目标向量旋转到最小交叉极化方向;然后,采用u/v/H参数描述散射机制,以模糊隶属函数代替参数平面的"硬"阈值划分;最后,以多元复Wishart分布描述相干矩阵,基于Bayes极大似然分类准则进行分类。

The appendix also gives the application for example, Z transform table, matrix transformation and operations, stochastic processes, and basic materials such as Matlab functions.

附录中还给出了应用举例、Z变换表、矩阵变换和运算、随机过程及Matlab函数等基本材料。

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