进一步讨论了该算法的收敛特性。
Then, the convergent characteristic of the algorithm is presented.
本文分析了逆幂迭代算法的收敛速度。
The convergence of the inverse correlation matrix iteration algorithm is analyzed.
文中还给出了等效源迭代算法的收敛条件。
The convergence condition of the iterative algorithm is also presented.
我们证明了该算法的收敛定理并把它与幂方法作了比较。
We prove the convergence theory for the algorithm and compare the method with Power method.
采用交叉和柯西变异运算，提高了算法的收敛速度和精度。
The crossover operation and cauchy mutation operation are used to enhance the convergence performance and speed of the algorithm.
为保证该算法的稳定性，提出并证明了该算法的收敛定理。
To ensure stability of the NNA, the convergence theorem of the NNA is presented and proved.
分析结果证明，PSOGA算法的收敛速度优于GA算法。
Experimental results prove the convergence rate of PSOGA is much faster than GA's.
实验结果表明，该方法能有效提高算法的收敛速度和收敛率。
The experimental results show that this method can speed up the optimization speed of algorithms and raise the convergence rate effectively.
第3章给出无约束极大极小问题的一个对偶算法的收敛理论。
Chapter 3 is devoted to the study of the convergence theory of a dual algorithm for unconstrained minimax problems.
当业务动态变化时，网络节点根据算法的收敛结果做出相应调整。
The network nodes witll be reconfigured when the algorithm converges to a new pattern.
由于搜索方向含有目标函数的二阶信息，提高了算法的收敛速度。
With the two degrees information of the object function in search direction, the algorithm improved the convergence.
但ICP配准算法的收敛速度较慢，且不能保证收敛到全局最优点。
But the convergence speed is still slow and the ICP algorithm may not converge to a global minimum.
同时，两阶段的搜索形式使算法的收敛精度和搜索效率得到了保证。
Meanwhile, the two-stage search guarantees convergence accuracy and search efficiency of the algorithm.
并针对该算法的收敛特点，给出一个优选初值去提升算法的收敛速度。
A better initial value is provided to accelerate convergence based on convergent characteristic of the algorithm.
我们对这类算法的收敛速率做了估计，最后还给出了其单调收敛定理。
We estimate the convergence rate of this method and give its monotone convergence theorems.
针对BP算法的收敛速度慢和局部极值的缺点，提出了两种改进方法。
Since BP algorithm has the defect that the speed of constriction is slow and have local extreme data, two kinds of improvement was put forward.
为进一步提高算法的收敛速度，提出联合信道参数估计和数据检测算法。
To improve the algorithm convergence, EM-based joint channel parameters estimation and data detection algorithm is proposed.
另外，设计了一个新的加速遗传算子，可以提高实数遗传算法的收敛速度。
In addition, a new accelerating genetic operator was introduced to improve the convergence of GNN.
在基本差分进化算法中，融入递增二次函数交叉算子以增加算法的收敛速度。
For the basic differential evolution algorithm, the increasing quadratic function crossover operator was added to increase the convergence speed.
为了加快粒子群算法的收敛速度，论文在传统粒子群算法中引入了记忆机制。
In order to speed up convergence, this paper implants the memory mechanism in the traditional binary PSO.
聚类初始中心的选择对该聚类算法的收敛速度和聚类的性能都有很大的影响。
The selection of starting center points of clustering has great effects on the constringency speed of this clustering algorithms and the performance of clustering.
还使用了“一致代价法”的思想改进搜索过程，提高了算法的收敛速度和精度。
Then, the thought of uniform-cost search is applied to improve the algorithm.
通过这种处理使得粒子群体的进化速度加快，从而提高了算法的收敛速度和精度。
The particle swarm optimization speeded up the evolution process, and improved the convergence speed and accuracy.
该模型的建立，加快了迭代算法的收敛速度，节约了大型注聚系统建模编程工作量。
With the model, we can expedite convergent speed of iterative operation and reduce modeling and program workload of large polymer injection system.
在求解非凸规划的分枝定界法中，剖分区间的选取直接影响到整个算法的收敛速度。
In the branch and bound method for solving non-convex programming, the choice of region subdivision directly affects the convergence of the whole algorithm.
这大大增强了蚂蚁间的合作性，加快了蚁群算法的收敛速度，提高了全局搜索能力。
This can greatly strengthen the cooperation between ants, accelerate the convergence speed and enhance the global searching ability.
研究了手写体汉字识别技术，采用改进BP算法进行网络训练，提高了算法的收敛速度。
A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
这些改进措施对降低算法的复杂程度、提高算法的收敛速度和全局搜索能力有重要意义。
These improved measures are of great significance on reducing complexities and enhancing convergence velocity, as well as increasing global searching ability of the algorithm.
仿真结果表明，该算法不仅保证了全局收敛性，而且大大提高了算法的收敛速度和稳定性。
The simulation results indicate that this algorithm not only guarantees global convergence, but also improves the converging rate and the stability effectively.
仿真结果表明，该算法不仅保证了全局收敛性，而且大大提高了算法的收敛速度和稳定性。
The simulation results indicate that this algorithm not only guarantees global convergence, but also improves the converging rate and the stability effectively.
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