ID 原文 译文
55037 基于标准测试函数的仿真实验表明,基于混合策略的GSA算法可有效避免早熟收敛,在收敛精度和收敛速度上与标准的GSA算法以及相应的改进算法相比有显著提高。 Based on standard test functions of simulation experiment show that the GSA algorithm based on hybrid strategy can effectively avoid premature convergence, in terms of convergence accuracy and convergence speed and standard of GSA algorithm and compared to the corresponding improved algorithm has improved significantly.
55038 在切换系统最优控制的框架下,讨论了挠性卫星的姿态控制问题。 In the framework of optimal control switch system, the attitude control problem of flexible satellite are discussed.
55039 首先,根据挠性卫星姿态调整的运动模型,同时考虑两种执行机构的控制作用,将卫星的姿态控制问题转化为一种切换控制问题,并在能量最小性能指标下讨论其最优控制问题。 First of all, according to the movement of the flexible satellite attitude control model, considering the control action of two kinds of actuators, the satellite attitude control problem is transformed into a switching control problem, and discuss its under the minimum energy performance index optimal control problem.
55040 其次,基于粒子群优化算法和Powell算法给出了求解最优切换时间问题的完整优化算法。 Secondly, based on particle swarm optimization algorithm and Powell algorithm is presented to solve the problem of the optimal switching time of the full optimization algorithm.
55041 最后,以3阶挠性卫星系统为例,给出了具体仿真算例,验证了所提算法的有效性。 Finally, in 3 order flexible satellite systems, for example, the specific simulation example is given to verify the effectiveness of the proposed algorithm.
55042 对频率值（frequent value,FV）编码技术进行了改进,并结合总线反转（bus invert,BI）编码技术的优点提出了FV-BI自适应总线编码,利用时分复用技术解决了多套数据总线混合编码问题和需要两根额外数据线问题。 The frequency value (the value, the frequent FV) coding technique is improved, and connecting with the bus inversion (bus invert, BI) coding technique put forward the advantages of FV - BI adaptive bus encoding, using time-division multiplexing technology solve the problem of the hybrid coding of the set of data bus and need two additional data line problem.
55043 基于基准测试程序、图片及音视频和随机数的测试,结果表明提出的FV-BI自适应总线编码技术能降低22% Based on the benchmark, pictures and audio and video, and the random number test, results show that the proposed FV - BI adaptive bus encoding technology can reduce 22%
55044 针对模糊C均值(fuzzy C-means,FCM)聚类算法没有考虑噪声样本点和样本数据的分布特征对聚类结果影响的不足,利用数据加权策略对FCM聚类算法进行改进。 In view of the fuzzy c-means (fuzzy C - means, FCM clustering algorithm does not take into account the noise sample points and the distribution features of the sample data to affect the result of clustering, use data weighting strategy to improve the FCM clustering algorithm.
55045 改进后的算法通过计算各样本点的密度值,将初始聚类中心限制在高密度样本点区域,并把样本点的密度值作为该点的权值,对聚类中心进行调整,突出高密度样本点在聚类中心调整中的影响力,从而达到提高聚类效果的目的。 The improved algorithm by calculating the density of each sample point, limit the initial clustering center in the region of the high density sample points, and the density of the sample points value as the value of that point to adjust the clustering center, highlight the high density sample points in the clustering center adjustment influence, so as to achieve the purpose of improve the effect of clustering.
55046 人造数据集和加州大学欧文分校(University of California-Irvine,UCI)真实数据集的实验结果表明,在不提高时间复杂度的同时,与FCM算法相比,基于数据加权策略的FCM算法聚类的准确率更高。 Artificial data set and the University of California, Irvine (University of California, Irvine, UCI) real data sets of the experimental results show that, without increasing the time complexity at the same time, compared with FCM algorithm, based on the data of the FCM clustering algorithm of weighted strategy higher accuracy.