1) weight matrix
权矩阵
1.
Optimized solution to the grid services matchmaking problem based on running time weight matrix;
基于运行时间权矩阵的网格服务匹配问题的优化解
2.
Study on optimal weight matrix of MIMO-STBC transmitter;
MIMO-STBC发射机最佳权矩阵研究
2) weighting matrix
权矩阵
1.
By taking the weighting matrix elements under independent modal space control as design variables and applying Pareto s method of optimization to integrated design of structure/control, the target-functions are established according to the traces of ARE matrix to satisfy the multi-optimization model restrained by close loop system s requirement for progressive steadiness.
以独立模态空间控制的权矩阵元素为设计变量 ,根据求解结构 控制综合设计的多目标优化问题的Preto优化解的约束方法 ,建立了以ARE的解矩阵的迹为目标函数 ,以满足闭环系统之渐进稳定条件为约束的多目标优化模型 。
3) connected matrix
权矩阵
1.
Using the analytic methods of neural dynamical property, we discover that the set of the eigenvalues of the network connected matrix is the link between the inner dynamic performance and the outside solution form.
针对Ｈｏｐｆｉｅｌｄ神经网络在求解巡回推销员问题（ＴＳＰ）时出现的无效解和局部极小值问题，本文结合网络动态分析，利用权矩阵特征值在网络内部动力特性与外在解表现形式之间的关联作用，通过各特征值间关系协调，对基于原模型的权值修正方案作进一步理论分析与改进，探讨网络收敛于全局有效解的途径，并在全国３１省、市、自治区ＴＳＰ模拟中收到较好效果。
4) weight matrix
权值矩阵
1.
Algorithm weight matrixes accurately express the complex non-linear relationships of lattice parameters of the two phases with temperatures and phase compositions are obtained based on the back-propagation neural network modeling on the practical values of temperature, phase composition and lattice parameter in various superalloys.
基于对多种镍基高温合金在不同温度下两相成分及其点阵常数数据归一化处理的反向传播神经网络模拟,得到了可以比较准确表达两相点阵常数与相成分、温度间复杂非线性关系的权值矩阵,由此可对镍基合金在不同温度下γ’和γ相的点阵常数进行测算,并获得与X射线衍射法测定数据甚为接近的点阵常数数据,证实了该方法的可行性及准确性。
2.
The module has functions of creating weight matrix,global spatial autocorrelation analysis and local spatial autocorrelation analysis,and can be plugged into ArcGIS applications.
模块包括空间权值矩阵建立、全局空间自相关分析、局部空间自相关分析三方面的功能,并可以嵌入到A rcG IS系统中。
5) weight matrix
加权矩阵
1.
By this ,this paper provide three training methods using weight matrix to emphasize the inherent differen.
在语音识别系统中,都是通过提取特征向量来计算待识语音与模型之间的概率或距肉,然后根据最大概率或最小距离判断待识语音的类别,对大量实验数据的观察发现:特征向量的各维对语音的表达能力是不一样的,同时特征向量在语音的时间轴上表达能力也不一样,根据这种特性,提出了三种训练算法:在训练中计算出加权矩阵,以此来加强易混淆数字间的本质区分特征,减弱随机特征,在汉语数字串识别实验中,得到了比较理想的实验结果,错误下降40。
2.
It is the key technology for design of the constant beamwidth array to calculate the weight matrix.
恒定束宽加权矩阵的获得方法是设计此类声纳基阵的技术关键。
6) weighting matrices
加权矩阵
1.
A direct method to detecmine based on simple explicit relation among the optimal state feedback matix and the weighting matrices is proposed This method don′t need to do recursive calculation or complex transform for solving It is an effective approach to elminate the ″bottleneck″ problem that are caused by the application of LQ optimal theory to the engineerin
基于分析系统ＬＱ最优控制解得到的最优状态反馈矩阵与加权矩阵之间的简单显式关系，提出一个直接确定［Ｑ，Ｒ］的方法它不需要迭代计算或复杂变换，就能求解出［Ｑ，Ｒ］，为解决ＬＱ最优控制理论在工程应用的“瓶颈”问题提供了一条有效途径
2.
MPC solved a constrained convex quadratic optimization by defining reference trajectories, constraint limits, prediction horizon, control horizon and weighting matrices.
通过设定参考轨迹、输入输出约束、控制步长、预测步长及加权矩阵,解决了系统的凸二次型优化问题。
3.
Based on the Hamiltonian system\'s theory,the relationship between closed-loop poles of system characteristic equation and weighting matrices was thoroughly investigated.
根据哈密尔顿系统理论,深入研究了系统特征方程的闭环极点和加权矩阵的关系,给出了希望加权矩阵的确定方法。
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