实验结果证明了这种算法的有效性。
The experimental results prove the efficiency of the proposed method.
计算机模拟表明此算法的有效性。
Simulation on computer indicated the effectiveness of this algorithm.
实际实验结果验证了算法的有效性。
Actual experimental results verify the effectiveness of the algorithm.
实验证明了该算法的有效性和实用性。
The analyse and experiment prove the validity of the algorithm.
最后的数值实验也表明了算法的有效性。
通过模拟实验，验证了该算法的有效性。
Through the simulation, the algorithm is proved to be effective.
数值结果证明了该算法的有效性和精确性。
The results demonstrate the accuracy and effectiveness of the algorithm.
实验结果验证了该算法的有效性和局限性。
Experiment results validate validity and limitation of this algorithm.
通过NS2模拟器验证了该算法的有效性。
实验结果证明了该算法的有效性和稳健性。
The result of experiments proved the effectiveness and robustness of the algorithm.
理论推导和实验结果都验证了算法的有效性。
Theoretical and experimental results are presented to verify the validity of the method.
通过分析和比较验证了该组合算法的有效性。
After analysis and comparison, the effectiveness of the combination ways is proved.
给出了程序软件，并用实例验证了算法的有效性。
We also illustrate the efficiency of the algorithm by examples.
MRI图像的分割实验证明了该文算法的有效性。
The segmentation results of the MRI images demonstrate the effectiveness of the algorithm listed in the paper.
然后设计了1000组算例以验证算法的有效性。
Then 1000 groups of cases are tested to verify the efficiency.
计算结果与其他方法的比较证明了本算法的有效性。
The efficiency of this method is verified by comparison of the results with those from other techniques.
对样本进行随机抽样，实验结果证实了算法的有效性。
With the help of random sample technique, the experiment proves the efficiency of algorithm.
为了验证算法的有效性，给出了传感器误差补偿实例。
To validate the validity of the algorithm, the simulating example of the error compensation on sensor was given.
在海量图像数据库上的实验结果说明了该算法的有效性。
Experiment results on large image database demonstrate the effectiveness of the proposed algorithm.
最后结合卫星图像分割实验，对比证明了新算法的有效性。
At last taking satellite image segmentation as samples, the efficiency of new algorithm is proved.
通过实际的应用，再次验证了改进算法的有效性和可行性。
Through the practical application, the effectiveness and feasibility of the improved algorithm is shown again.
基于仿射形状空间的实验了表明本文所提出算法的有效性。
Experiments within affine shape space prove the effectiveness of this novel proposed algorithm.
通过蒙特卡罗模拟，证明了该算法的有效性和定位精度较高。
Monte Carlo simulation results show the efficiency and high location precision of the proposed algorithm.
通过一个客户订单评价的群决策算例论证了该算法的有效性。
The algorithm is proved to be effective by an example of evaluating the client's order.
最后通过实验在两个公开的掌纹数据库证明了这种算法的有效性。
The experimental results on two palmprint image databases demonstrate the effectiveness of the proposed method.
在人造数据集和电力系统安全稳定评估的应用验证了算法的有效性。
Test results on synthetic data set and power system stability assessment show its effectiveness.
算例证实了算法的有效性，通过和基本粒子群算法比较显示其优越性。
Study cases showed the validity of the algorithm. The compare with basic particle swarm algorithm showed its superiority.
同时，对其解的收敛极限进行了讨论；并通过实例验证了该算法的有效性。
Discusses the limit of the solution, and proves the effectiveness of the algorithm by examples.
同时，对其解的收敛极限进行了讨论；并通过实例验证了该算法的有效性。
Discusses the limit of the solution, and proves the effectiveness of the algorithm by examples.
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