数据验证表明，此迭代算法收敛快。
The data test shows that this iterative algorithm converges speedily.
通过一个实例，说明此算法收敛速度较快。
It is shown from an illustrative example that the convergence rate of the algorithm is higher.
不恰当的初始化会造成算法收敛到局域极小值。
Improper initialization will lead the algorithms converge to local minimum.
仿真表明，该学习算法收敛速度快、稳定性好。
Simulation shows that the learning algorithm has a fast convergence speed and good stability.
结果表明SADE算法收敛速度快、求解精度高。
The experimental results show that SADE is of higher precision and fast convergence.
MD接收机的应用受到了LMP算法收敛速度慢的限制。
The limitation of adaptive MD receiver with LMP algorithm is that the algorithm convergences slowly.
对于高维复杂函数，一般粒子群优化算法收敛速度慢，易早熟收敛。
For complex functions with high dimensions, general particle swarm optimization methods are slow speed on convergence and easy to be trapped in local optima.
BP神经网络已广泛应用于许多领域，但标准BP算法收敛速度很慢。
BP neural network has been widely used in many fields. But the convergent speed of standard BP algorithm is too slow.
计算表明，该算法收敛速度快，计算精度高，通用性好，有实用价值。
The results of numerical examples show that the accuracy and convergence are satisfactory and it will be useful for practical purposes.
仿真结果显示，自然梯度算法比传统梯度算法收敛速度更快，分离效果更好。
Simulation results show that the natural gradient approach has faster convergence speed and better separation performance than the conventional gradient based algorithm.
该算法充分利用了迭代过程中的前几次迭代信息，从而使算法收敛速度更快。
The proposed algorithm has a faster convergence speed, for it USES the information of former iterations.
反向传播(BP)算法常常用于神经网络的权值训练中，但是BP算法收敛慢。
Back propagation (BP) algorithm is often used for the weights training of neural network, but the convergence speed of BP algorithm is slow.
该算法克服了DFS算法收敛性差和模拟退火(SA)算法收敛速度慢的缺点。
Compared with traditional DFS algorithm and simulated annealing (SA) algorithm, the proposed algorithm possesses better convergency and high convergence rate.
实验结果表明，新算法收敛速度快，寻优能力强，能很好地求解约束优化问题。
Simulation results show that the proposed approach has fast convergence and good optimization ability, and is suitable for solving constrained optimization problems.
在交替迭代过程中，考虑到算法收敛较慢，一种称为向量外推的加速方法被采用。
During the alternate iteration, an acceleration method called as vector extrapolation was applied to the alternate iteration steps owing to slow convergence of the algorithm.
针对传统常数模算法收敛速度慢的缺点，提出了一种基于动量算法的常数模算法。
In order to overcome the slow convergence rate of traditional CMA (Constant modulus algorithm), a Momentum algorithm based Constant modulus algorithm (MCMA) is proposed.
调整该算法中两个梯度矢量的比例系数，可提高该算法收敛速度、减少收敛后的均方误差。
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.
在遗传算法中引入个体学习机制能够提高算法的性能，避免算法收敛过慢或陷入局部最优。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
推广了迭代算法收敛分析中的Q 收敛阶的概念，据此给出了算法效率的一种一般的度量。
The definition of Q rates of convergence in iterative algorithms is extened and the efficiency measure is developed.
变步长的仿射投影算法因具有较传统仿射投影算法收敛快、失调小等优点而受到广泛重视。
Variable step - size affine projection algorithm with faster convergence and lower mis - adjustment is investigated broadly.
实验结果表明，该算法收敛速率快，寻优能力强，为指挥员提供了实时有效若干可行的分配方案。
The simulated experiments prove that the algorithm comes to excellent optimal solution with high convergence rate.
实验数据表明：该算法收敛速度快，能有效地识别故障，对类似电气设备的故障识别有参考价值。
The experiment data show that the algorithm converges quickly and recognizes faults efficiently. It has a reference value for faults recognition of similar electrical equipment.
对于高维复杂函数，传统的确定性算法易陷入局部最小，而单一的全局随机搜索算法收敛速度慢。
For complex functions with high dimensions, canonical optimization methods are easy to be trapped in local minima and simple random search methods are slow on convergence.
针对BP算法收敛速度慢的特点，在隐含层上加入了关联节点，改善了网络的学习速率和适应能力。
Aiming at the slow convergence rate of BP neural network, append a correlative node on hidden layer, improve the adaptive ability and rate of studying of neural network.
比照传统遗传算法与生物界进化过程，分析了引起传统遗传算法收敛速度慢和寻优效率低的两个原因。
By contrasting the traditional genetic algorithms (TGA) with the biologic evolution, two kinds of reasons that the convergence speed and searching efficiency in TGA are both lower are concluded.
算法面向实际的运输网络，利用顶点间存在的路径关系，对个体进行优化，从而加速了算法收敛速度。
For a practical transport network, the algorithm used the relations among the points to optimize the individuals. Thus the procedure of the evolution was accelerated.
最后文章针对多输入多输出线性时变系统提出了一种迭代学习控制算法，证明了算法收敛的充分必要条件。
Finally, an iterative learning algorithm was presented for a MIMO linear time-varying system in the paper and a necessary and sufficient condition for the existence of convergent algorithm was proved.
对这一算法给出了精细的收敛性结果，证明了存在罚参数的一个阈值，当罚参数小于这个阈值时，算法收敛。
Detailed convergence results for the dual algorithm are given and it is proved that there exists a threshold, and the algorithm will converge if the penalty parameter is less than the threshold.
对这一算法给出了精细的收敛性结果，证明了存在罚参数的一个阈值，当罚参数小于这个阈值时，算法收敛。
Detailed convergence results for the dual algorithm are given and it is proved that there exists a threshold, and the algorithm will converge if the penalty parameter is less than the threshold.
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