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PSO is simple and easy to implement, but the value of inertia parameter and the swarm size have an important effect on the PSO algorithm performance. 摘要PSO的优点是算法表达简单，易于实现，其中的惯性权重参数选择和种群大小选择对算法特性有显著影响。
Study on DPSD algorithm performance with parameter selection[J].Journal of Jilin University of Technology,1998,28 (3):40-45. DPSD算法性能研究及参数选择[J].;吉林工业大学学报;1998;28(3):40-45
Algorithm performance was evaluated by using the MIT-BIH arrhythmia database.The results indicate that the accuracy is near 99.8% using the algorithm accuracy. 研究结果表明：利用心率失常库MIT-BIH中的记录对该检测方法进行检验，正确检出率超过99.;8%25；
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems.Parallelization is an effective means to improve the algorithm performance. 分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
The proposed certificate revocation schemes restrict algorithm performance because they fail to consider the differences between the probabilities of inquiring certificate. 在目前已经提出的证书废除机制中,由于未考虑证书查询概率之间的差异,限制了算法的性能。
Simulation results show that the modified algorithm performance prediction based on HYCA approach is effective, and MPDA’s tracking precision is improved in contrast with PDA’s. 仿真结果表明采用HYCA方法对MPDA算法进行“瞬态”性能预测的有效性，同时也证明了MPDA算法在跟踪精度方面优于原PDA算法。
Simulation results show that this algorithm performs better than LEACH. 模拟实验结果显示算法与LEACH相比具有更好的性能。
The paper focus on the Apriori association rules mining algorithm ,presents an enhanced method which can effectively reduce the number of data to improve the original Apriori algorithm performance. 对Apriori关联规则挖掘算法提出了一种改进方法，使其可以有效地压缩数据规模，提高了原Apriori算法的执行效率。
This algorithm combines all the advantages of HLinEx, IHP and DHP, then improves the algorithm performance greatly. Furthermore it breaks the restriction that the algorithm can be efficient only in difficult cases. 这一算法总结了HLinEx,IHP和DHP算法的优点,极大地改善了算法性能,并且使算法的使用不仅仅局限于长类型的频繁项目集挖掘。
Abstract： Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems.Parallelization is an effective means to improve the algorithm performance. 摘要：分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
This point out that in order to improve the LMS algorithm performance, the gradient are optimally estimated, or the error signal are nonlinearity processed,these methods are equipollent. 文中指出：对最速下降法的梯度优化估值和对误差信号非线性处理，是改善LMS算法性能的等同措施。
As a metric of BSS algorithms performance,the similitude coefficient is widely used. 为了评价盲源分离(BSS)效果,目前普遍采用的检验指标是相似系数。
DSA and ECC algorithm performances are completely unacceptable in their current implementations. DSA和ECC算法性能在其当前实现中是完全不可接受的。
Results obtained from experiments on real images demonstrate that the proposed algorithm performs well and fast. 通过对真实图像进行了圆检测实验,结果表明,该算法具有准确率高、速度快的优点。
Simulations show that LCB algorithm performs well in terms of load balancing across the service replicas. 模拟实验表明;LCB算法具有良好的负载均衡效果.
Experimental results for solving TSP show that the proposed algorithm performs better than ACA and ACAGA. 以TSP为例进行的实验结果表明,该算法优于ACA和ACAGA。
Wiggins believes that many machine-learning algorithms perform well under precisely these conditions. 魏金斯相信，许多机器学习的演算法可以在这种条件下发挥很好的功能。
Experimental results show that the proposed algorithm performs well, even for captions with unknown font, size, and position. 实验结果表明，即使在复杂背景下，对于字体、大小和位置都不确定的字幕，该算法仍具有良好的分割效果。
The presented algorithm performs noise detection and filtering at multiple resolutions based on the biological concept of foveal vision. 算法模拟生物视觉在注视过程中的变分辨率特性，以不同分辨率对噪声进行多层次的定位及滤波。
The simulation test shows this algorithm performs well for the LFM echo of moving target with unknown radial velocity under reverberation background. 仿真测试表明，该算法对于混响噪声背景下径向速度未知动目标的线性调频回波具有良好的检测性能。