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primary algorithm相关的网络例句

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Finally, FastICA in time domain is derived based on instantaneous BSS system, and convolutional mixture BSS algorithm in frequency domain is obtained based on convolutional mixture BSS in time domain. Then we combine the two algorithms together and present the complex-value FastICA algorithm in frequency domain, which is a new BSS technique. We merge preprocessing in time domain and correlation coefficient solution in time domain into this new algorithm and present Time-Frequency domain FastICA BSS System.

最后,本文在瞬时混合盲分离系统基础上推出时域FastICA算法,在时域卷积混合盲分离系统基础上推出频域卷积混合盲分离算法,将这两种算法相结合,提出了频域复值FastICA算法,再将此算法与时域预处理方法以及最后回到时域中的利用相关系数求解分离信号方法相结合,从而建立了基于FastICA的时频域盲分离系统,并将其应用到实际环境中的语音信号盲分离中。

The paper includes the constitutes of system hardware, image pretreatment, the achievement of parameter detection artithmetic. The main work is as follow: The pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. Using this method we may get different grey vehicles from the background exactly. Used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition; Improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines; And to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization; In the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates.

本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求,基于视频图像进行了交通信息处理的算法研究与实现,主要工作包括以下几个方面:将先锋遗传算法应用到图像阈值分割中,利用先锋遗传算法寻求全局最优阈值,可以比较准确的将图像中不同灰度的车辆从背景中分离出来;采用支持向量机理论进行了车辆自动分类的仿真研究,仿真结果证明该方法能够比较准确的将车辆的类型进行识别;改进了基于背景自动更新的虚拟检测区域算法,提高了车辆检测的实时性和准确性;并对基于虚拟检测区域的图像处理算法实现进行了详细说明;论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。

The Rife algorithm and the completed Rife algorithm are complemental on the performance, so a synthesized algorithm is obtained.

考虑到Rife算法和补充Rife算法性能互补的优点,提出了一种综合算法。

The thesis also draw several conclusions as follows:(1) Orthogonal experiment design method can be viewed as a special case of genetic algorithm, i. e. a genetic algorithm with a fixed initial population, an oriented-mutation operator and one evolution epoch.(2) In terms of running steps, genetic algorithm is more complex than orthogonal experiment design method.

论文首次对正交试验设计法和遗传算法这两种独立发展起来的方法进行比较研究,提出(1)正交试验设计法是遗传算法的一种特例,即是一种初始种群固定的、只使用定向变异算子的、只进化一代的遗传算法;(2)遗传算法产生的优化解优于正交试验设计法产生的优化解,且遗传算法处理交互作用项的效率高于正交试验设计法;(3)遗传算法的步骤比正交试验设计法复杂,所需的试验次数也要多。

In the algorithm designed here, polygon-fill algorithm and "Painter Algorithm" are used to display 3-D isoline," Windup Storage" method to balance computer processing load,"Associative Fan in" method to conflate results, and "Run Length Compression" method to save network communication time.

根据等值线数据量随其属性值而变化的特点,设计了采用"卷帘存储法"实现负载平衡的等值线三维显示的并行算法;采用"结合扇入法"实现结果合并,并采用"运行长度压缩法"以缩短网络通讯时间。

In the algorithm designed here, polygon-fill algorithm and "Painter Algorithm" are used to display 3-D isoline,"Windup Storage" method to balance computer processing load,"Associative Fan in" method to conflate results, and "Run Length Compression" method to save network communication time.

运用多边形填充和"画家算法",实现了等值线三维显示;根据等值线数据量随其属性值而变化的特点,设计了采用"卷帘存储法"实现负载平衡的等值线三维显示的并行算法;采用"结合扇入法"实现结果合并,并采用"运行长度压缩法"以缩短网络通讯时间。

The essential features of the algorithm are as follows: A kernel modification algorithm is constructed according to the conformal mapping of information geometry and the modified kernel function is subsequently used to train the classification algorithm in support vector data description.

该算法的核心思想为:根据信息几何中保角映射的方法构造数据驱动的核函数修正算法,然后再利用修正的核函数训练支持向量数据描述分类算法。

The examples indicate that the algorithm has strong pertinence and high efficiency, hi the discrete variable optimization, the problem is solved in the relative quotient method On the base of analyzing the relative quotient method, the conjugate gradient direction is used to modify the old search directions, the iterative matrix of the algorithm, and the method to resolve the discrete variable optimization, the relative conjugate difference quotient algorithm is presented.

离散变量优化算法是从相对差商法开始的,在详细分析相对差上法的基础上,用共轭梯度方向修正原有的搜索方向,并对算法的迭代矩阵进行相关的修改,最终形成一种用于求解离散变量优化问题的RCDQ法。

Optimization solution algorithm is the most important in topology optimization.Algorithms fit for discrete structure and continuum structure are all investigated. Thecharacteristic and different using limit of both optimization criteria method andmathematics programming method are all analyzed in this paper. OC algorithm and theseries MMA algorithm based on SIMP approach are deducedand used for the topology optimization problem of continuum structure.

优化求解算法是拓扑优化问题求解的核心和关键,本文系统分析了适用于离散结构和连续体结构优化的优化求解算法,重点讨论了 OC 算法和 MP 算法,分析比较了不同算法的特点和适用范围,推导了基于 SIMP 理论的优化准则法和 MMA 系列算法,并将MMA 系列算法应用于连续体结构拓扑优化问题的求解。

Thecharacteristic and different using limit of both optimization criteria method andmathematics programming method are all analyzed in this paper. OC algorithm and theseries MMA algorithm based on SIMP approach are deducedand used for the topology optimization problem of continuum structure. MMA algorithm hasa bad convergence but it has a high computational efficiency, while GCMMA is excellent onconvergence and stability with bad calculation efficiency.

优化求解算法是拓扑优化问题求解的核心和关键,本文系统分析了适用于离散结构和连续体结构优化的优化求解算法,重点讨论了 OC 算法和 MP 算法,分析比较了不同算法的特点和适用范围,推导了基于 SIMP 理论的优化准则法和 MMA 系列算法,并将MMA 系列算法应用于连续体结构拓扑优化问题的求解。

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