英语人>网络例句>generated subspace 相关的网络例句
generated subspace相关的网络例句

查询词典 generated subspace

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

The parametric optimization model is established on the basis of explicit least square error, and the parameters of digital points are optimized by subspace interior reflective conjugate gradient method.

建立了基于显式的最小二乘重构误差的参数优化模型,运用子空间共轭梯度内部反射牛顿优化技术实现了大规模数据点的参数优化。

Then the stability solution of the variable cross-section compression bar, that is discribed by a partial differential equation with variable coefficient is transformed into solving a set of algebraic equations established in the subspace.

首先以均匀梁的低阶纵向振动模態函数构成求解子空间,然后在此子空间中把变截面压桿稳定由变系数偏微分方程描述的求解问题转化为非线性代数方程组的求解,从而简化了计算过程。

It realizes the global optimal computation via the local interacting agents with abilities of local perceptivity, competition and cooperation, self-learning etc. Then orthogonal design is introduced to generate an initial population of points that are scattered uniformly over the feasible solution space and to generate a crossover operator. As a result, the resulting algorithm is more robust and statistically sound. For high dimensional functions, a large memory is needed in generating an initial population with orthogonal design. To overcome this problem, a method called subspace partition is proposed, so that the memory is one tenth that of original one.

它以Multi-Agent系统为基础,通过Agent间的相互作用与每个Agent所具有的知识和自学习功能来提高算法的全局优化能力和收敛速度;同时利用正交试验设计方法产生较好的初始种群和设计正交交叉算子以获得更好的后代;针对正交试验设计产生初始化种群在函数维数很高时需很大存贮空间的缺点,提出了子空间分割法来产生所需的初始化种群,它只需要原来存贮空间的十分之一。

The two dimensions (2D, plane angle and polar angle) speech source DOA estimation algorithm had been proposed by combining this model and subspace methods.

对基于麦克风阵列的声源定位技术进行了研究,分析了基于麦克风阵列的远场信号模型,并结合子空间的方法推导出了声源二维DOA估计——2D-MUSIC算法,该算法适用于任意拓扑结构的麦克风阵列。

When the IPR method is used in the cases that there are few sources with same frequency, the matrix composed of noise eigenvectors is processed complexly. So we construct the matrix for computing the coefficient of polynomial with signal subspace.

针对IPR算法在信号较少时,噪声特征向量构成的矩阵计算量较大的问题,改进算法从信号子空间出发求出构造多项式的系数,从而求得到达角。

Fault can be reconstructed by sliding the measure to principal component subspace along the direction of fault.

沿着故障方向,测量数据逐步逼近主成分子空间可以实现数据的重构。

It is clear that the maximum principal component is mainly made up of the supply frequency component. The subspace II is spanned by the other eigenvectors related to the rest components.

子空间I由信号中的最大主分量和噪声所对应的特征向量张成,子空间II由其他分量的特征向量张成。

By projecting signals with different frequencies into the subspace I, the signal with the supply frequency has the maximum value. Consequently, in the spectrum of the reciprocal of the projecting value, the supply frequency component is cut off and the fault feature component emerges in the spectrum.

把不同频率的信号投影到子空间I,基频信号在该空间的投影将远大于其他的频率分量,因此在投影的倒数谱中,基频分量被抑制,凸显出了故障频率分量。

In this paper, by projecting the initial residual matrix onto a matrix Krylov subspace, we present a new method -- global generalized minimal error method.

我们考虑将初始残量矩阵总体投影在一个Krylov子空间上,从而得到一种新的方法—总体广义最小误差方法。

The method takes and combines the advant- ages of both the subspace iteration method and Ritz vecter method.

0引言 目前求大型结构部分模态参数已有许多成熟的方法,如R八z向量法川子空问迭代法,1和Lonozo。

第24/100页 首页 < ... 20 21 22 23 24 25 26 27 28 ... > 尾页
相关中文对照歌词
Cypher With Self
Rip Vs. Poet Laureate (Director's Cut)
Poet Laureate Infinity V004
Poet Laureate Infinity Vocal 2
The W.T.O. Kills Farmers
Start It Up
Cingularity Point
We Turned Out Alright
My Money Straight
Channel 613, Pt. 1
推荐网络例句

Tom: You are right, he worked hard all the time.

你是对的。他一直都是努力工作。

Take shortcomings,failures,and mockings of others as commonplace and a drive to complete oneself,hold your own opinion over the evalution and disscution divested from others,afterwards sink into the state of eliminate mistakes if any or encourge oneself being not being influenced by the sayinngs of others or having no ideas to do.

把缺点、失败及别人的耻笑等看成是一种常事,当成完善自己的动力,对别人的评价和议论自己心中有主见,做到&有则改之,无则加勉&,不为人言所左右或无所适从。

We are going to have a swim this evening.

今天晚上我们要去游泳。