LMS algorithm is of lower complexity but poor convergence performance.
LMS算法复杂度低，易于实现，但是收敛性能较差。
Simulation results show that better monotonic convergence performance is achieved by using the…
仿真结果表明采用给出的最优设计具有更好的迭代学习单调收敛性能。
Instead of the traditional mutation operators, we use parallel mutation to improve the convergence performance.
并采用并行变异代替传统的变异操作以改善算法收敛性能。
The crossover operation and cauchy mutation operation are used to enhance the convergence performance and speed of the algorithm.
采用交叉和柯西变异运算，提高了算法的收敛速度和精度。
Two ways are put forward to study the feasible and reasonable way for improving the convergence performance of genetic programming.
提出了通过增加突变机会，设计一些新的突变算子两种策略来进行探讨提高遗传程序设计的收敛性能的合理、可行途径。
The results show that IPSO can improve the global convergence performance of traditional PSO greatly, heighten the accuracy of the solution.
计算实例表明改进型粒子群优化算法大大改善了传统PSO算法的全局收敛性能，解的精度提高了很多。
Theoretical analysis and computer simulation show the variable step LCMA has been improved in both aspects of convergence performance and stability performance.
理论分析和仿真结果表明改进的变步长线性约束恒模算法分别从收敛性能和稳态性能方面得到了改善。
Theoretical analysis and numerical simulation show that the convergence performance and symbol error performance of the new algorithm are better than those of the MOE detector.
理论分析和数值模拟表明该算法的收敛性能和误码性能均好于MOE检测器。
It is also indicated that current WNN has a poor convergence performance because of adopting the random initialization method and gradient training algorithm of traditional BP NET.
还指出由于当前的连续小波神经网络主要使用传统BP神经网络的随机初始化方法和基于梯度的训练算法，因此存在收敛性差的缺点。
Computer simulation shows that the improved algorithm has better convergence performance than the conventional algorithm. It can speed up convergence rate and decrease state residual error.
经计算机仿真表明，新算法与原算法相比，收敛性能有所改善，收敛速度加快，稳态剩余误差减小。
In order to improve the convergence performance of the algorithm, simulated annealing technique is introduced. The algorithm is adopted to solve the reliability optimization allocation problem.
为了提高算法的收敛性能，融入了模拟退火机制，并将此算法应用于复杂系统可靠性最优分配问题。
The results of simulation prove that the improved algorithms are feasible for evolving the digital combinational logic circuits and improve the evolvable efficiency and convergence performance.
仿真实验结果证明了改进演化算法对于实现函数级数字组合逻辑电路的硬件演化是可行的，并且提高了演化算法的演化效率和收敛性能。
The simulated result demonstrates that this method have the same convergence performance and misadjustment as the traditional ALE. The approving frequency spectrum estimation result was obtained.
研究了高分辨线谱增强器的收敛特性，仿真验证了它与传统ALE具有相同的收敛速度和失调，取得了比较满意的频率估计结果。
This is one example of the convergence of performance measured in terms of the load, with availability measured by the reliable and timely delivery of messages.
这就是一个集中优化性能的例子，它通过负载度量性能，通过消息提交的可靠性和及时性来度量可用性。
The simulation results of the model performance are analyzed to prove the convergence time, node querying speed and adaptability to churn are better than the traditional model.
并在仿真测试中对该模型的性能进行了分析，证明该模型在收敛时间，节点查询速度，和对扰动的适应性方面优于传统的模型。
Optimized network has quick convergence speed, steady performance and good extend capability.
优化后的网络收敛速度快、稳定，具有较强的推广能力。
The deployment of new applications, as well as the convergence of voice, video and data, has intensified the need for reliable, secure, high performance networks.
部署新应用以及融合语音、视频和数据的要求，使得对可靠、安全和高性能网络的需求更加迫切。
Convergence speed is a major performance index of repetitive control system.
收敛速度是重复控制系统的一个重要的性能指标。
Simulation results show that the natural gradient approach has faster convergence speed and better separation performance than the conventional gradient based algorithm.
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。
The result shows that RBF networks has very high learning convergence speed and better classifying performance. RBF networks has good practicality in the field of equipment fault diagnosis.
应用结果表明，RBF网络训练速度快、分类性能良好，在设备故障诊断领域具有很好的实用性。
Experiment results showed the algorithm had fast convergence rate and excellent on-line classification performance.
结果表明，该算法有较快的收敛速度，网络的在线分类性能良好。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
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。
Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.
模糊控制改进了自适应逆控制系统中LMS算法的性能，解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。
Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.
模糊控制改进了自适应逆控制系统中LMS算法的性能，解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。
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