The global convergence of algorithm is novel proved under proper conditions.
在一定的条件下，比较新颖的证明了算法的全局收敛性。
In this paper, we introduce the numerical solution of nonlinear equation with a integration and discuss the convergence of algorithm.
本文提出了一类含积分的非线性方程的数值算法，并讨论了算法的收敛性。
This new algorithm USES the history optimization information to update pheromone, avoids prematurity and accelerates the convergence of algorithm in later period.
该算法利用历史最优信息来更新信息素，避免出现早熟现象，加速算法的后期收敛。
Then the mechanism of Simulated Annealing is import in the algorithm above to decrease the execution time and quickens the velocity of convergence.
然后，为了加快遗传算法的收敛速度减少算法执行时间引入模拟退火机制对上述算法进行优化。
Then some defects such as slow convergence rate and getting into local minimum in BP algorithm are pointed out, and the root of the defects is presented.
分析了BP算法的基本原理，指出了BP算法具有收敛速度慢、易陷入局部极小点等缺陷以及这些缺陷产生的根源。
All the possible algorithm models in general conditions have been considered, and parameter choice and convergence speed of these different algorithm were investigated.
考虑了在一般情况下各种可能的算法模型，分析了这些不同算法的参数选择问题、以及收敛速度问题。
This algorithm improves convergence speed and reduces residual error by increasing small the quantity of computation.
该算法通过增加很少的计算量不仅提高了收敛速度而且获得更小的剩余误差。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
According to the analysis of simulation results compared with BP algorithm, this algorithm has the advantage of the fine stability, fast convergence speed and high precision.
通过与BP算法的仿真结果比较分析，发现该算法具有稳定性好，收敛速度快，预测精度高的特点。
The simulation and motor control show that the new algorithm has fast learning rate, good convergence properties and can overcome the defects of traditional PID algorithm.
仿真实验及在伺服电机转速控制中的应用表明，该算法具有较快的学习速度及良好的收敛性能，并有效地克服了传统PID算法的缺陷。
The algorithm is initialized by a statistical histogram based on FCM algorithm, which can speed up the convergence of the algorithm.
算法中使用基于统计直方图的快速FCM算法进行初始化，收敛速度大大提高。
Reliability, stability, convergence and fastness of this algorithm are satisfying.
这种算法的可靠性、稳定性、收敛性和快速性是令人满意的。
Finally, the algorithm is tested by three test functions of numerical optimization. The emulational experiment results show that this improved algorithm has greater probability of convergence.
最后，用数值优化中的三个测试函数对该算法进行测试，仿真实验结果显示该算法可有效地提高算法的全局搜索能力。
The results of image edge detection show that the algorithm has better convergence properties than the conventional backpropagation learning technique.
经图像边缘检测应用结果表明，该算法对于加快网络学习的收敛性有着显著成效。
The iterative format and the convergence criteria of this algorithm are presented.
给出了动力半显式算法的迭代格式和收敛标准。
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。
The results also show the high precision and rapid velocity of convergence of the new algorithm.
结果同时显示，该算法精确度高，且收敛速度快。
The simulation test was completed through two mechanical design cases. The result shows that the algorithm has high efficiency, rapid speed of convergence and strong capability of global search.
最后通过对两个机械优化设计实例进行仿真试验，结果表明本算法求解效率高、收敛速度快、全局搜索能力强。
The proposed algorithm has a faster convergence speed, for it USES the information of former iterations.
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 strong convergence of the algorithm under a general choice for radius of trust region is proved.
在一个很广泛的信赖域半径选择规则下，证明了算法的强收敛性。
But if above positive real condition is satisfied only within some frequency range, the convergence of FXLMS algorithm is dependent on the spreading of power spectral density of the reference signal.
若上述正实条件仅在某些频带上满足，则FXLMS算法的收敛将依赖于参考信号功率谱密度的分布。
But if above positive real condition is satisfied only within some frequency range, the convergence of FXLMS algorithm is dependent on the spreading of power spectral density of the reference signal.
若上述正实条件仅在某些频带上满足，则FXLMS算法的收敛将依赖于参考信号功率谱密度的分布。
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