convergence rate的例句大全

the simulation results show that compared with the previously published bp model, the proposed model provides faster convergence rate and better performance in the time domain and frequency domain. 4.

仿真结果表明，相比于文献中的BP神经网络模型，所建立的模型有较快的收敛速度和较好的时、频域性能。

An Estimate for the Convergence Rate of the Piecewise Linear Interpolation

分段线性插值收敛速度的一种估计

For high order QAM ( Quadrature Amplitude Modulation) signals, the residual square error of CMA ( Constant Modulus Algorithm) is unacceptably large and the convergence rate of MMA ( Multi Modulus Algorithm) is too slow.

对于高阶QAM信号，常数模算法的收敛误差不为零，而多模算法的收敛速度慢。

Contrarily, a smaller a can decreased the stability error, but the convergence rate of system will be very slow.

反之，小的α降低了稳态误差，但是系统的收敛速度也得到降低。

A Convergence Rate Analysis Method for Route Planning Cruise Missile based on Genetic Algorithm

基于遗传算法的巡航导弹航迹规划的一种收敛速度分析方法

Convergence Rate Estimate of Ishikawa Iteration Method with Errors for Equations Involving Accretive Operators

关于增生算子方程的具误差的Ishikawa迭代序列的收敛率估计

An important matter for our using an artificial nervous network ( ANN) to automatically identify lithology from inputted logging data is to improve both transfer function and convergence rate.

应用人工神经网络（ANN）模型，输入测井数据自动识别岩性，重要的问题是改进传递函数，提高收敛速度。

The innovations of this dissertation can be showed in five aspects: ( 1) Find the PLS iteration initial value under the unit vector restraint, enhances the PLS convergence rate, explains the PLS iteration convergence.

在单位向量约束下找到PLS迭代初值，提高PLS收敛速度，说明PLS迭代收敛性。

The experiment results show that the improved BP algorithm improves convergence rate of neural network and overcomes the problem of falling into local minimums.

应用这种改进的BP算法对某发电机组振动故障进行了诊断研究，结果表明，该改进BP算法加快了网络的收敛速度，避免了陷入局部极小陷阱的问题。

Through simulating under Matlab, some facts were proved that in same conditions the improved BP algorithm improved convergence rate of neural network and overcame the problem of falling into local minimums.

Matlab仿真运行证明，在相同的条件下，改进的BP算法加快了网络的收敛速度，避免了陷入局部极小的问题。

The Kernel Density Estimator with Spherical Transformation and Its Uniform Convergence Rate

球面变换核估计及其一致收敛速度

The Uniform Convergence Rate of Multi& Parameter Linear Empirical Bayes Estimator

多维参数线性经验Bayes估计的一致收敛速度

Strong Uniform Convergence Rate of Nonparametric Kernel Estimate of a General Function under Dependent Data

相依数据下一般函数核估计的强一致收敛速度

The authors use a new global optimization method, DIRECT algorithm, to design two-dimensional arrays, which is very useful when the object function is a "black box" and has a faster convergence rate than others.

采用一种新的方法&分割矩阵（DIRECT）全局优化算法，设计二维阵列，该算法适用于多变量黑盒问题的求解，并且具有比其他优化算法更快的收敛速度。

As EASI algorithm used in a fixed step, so it is not achieves the best combination of the convergence rate and the separated performance.

在自适应算法中，步长因子是十分重要的因素，它影响了算法的收敛速度和最终的稳态误差，由于EASI算法采用的是固定步长，故不能使收敛速度和分离性能达到最佳结合。

Convergence Rate for Asymptotic Uniformity of Distribution of Independent Sums Modulo One

部分和模1（mod1）分布渐近均匀性的收敛速度

Experimental results show that genetic drift induced by occurrence-based scanning crossover reduces both convergence rate and genotypic diversity, thus causing pure performance deterioration of evolutionary search.

实验数据表明，重组的遗传漂移只会产生降低收敛速度和收敛可靠性的纯消极效果。

The simulant genetic optimization shows that the genetic drift induced by multi-parent occurrence-based scanning crossover reduces both the population diversity and the convergence rate, thus deteriorating the performance of an evolutionary search.

应用基于基因出现频率的多父代扫描交叉的仿真遗传优化实验的数据表明，重组的遗传漂移不但导致种群多样度的急剧下降，而且降低了进化搜索的收敛速度，从而降低了进化搜索的性能。

Neoclassical growth theory raised the definition of convergence, which means that the growth rate of under developing regions is faster than that of the developed ones.

新古典增长理论提出了趋同（Convergence）的概念：相比经济发达的领先地区，经济落后的跟随地区会具有更快的增长速度。

When the regular BP neural network is used, it may have poor performance because of bad convergence. So we choose improved BP neural network as classifier, which combines momentum and adaptive learning rate, and improve the learning and recognition efficiency.

针对标准的BP神经网络常因收敛速度太慢而影响求解质量的问题，我们选用动量法和学习率自适应调整相结合的改进的BP神经网络作为分类器，从而提高了学习速度和识别率。