查询词典 algorithms

Based on present work of genetic algorithms, the arising process of incest and premature convergence is discussed. The operating efficiency of genetic algorithms is analyzed from different view of points, and the conclusion is drawn from the analysis that there exists a lot of caducous operation during the evolution in the case of premature convergence.

在遗传算法现有研究成果的基础上，讨论了近亲繁殖和早熟收敛的产生过程，并从不同角度对遗传算法的操作效率进行了分析，得出在早熟收敛的情况下遗传操作存在大量无效操作的结论； 3。

Circular orbit based Cone-Beam reconstruction algorithms, which are mathematically simpler and more feasible than other algorithms, are more favorable.

圆轨道锥束重建，因为算法上的简洁性以及工程实现的可行性，成为了锥束重建比较乐于采用的形式。

Therefore, it is necessary to study feature selection algorithms and different classification algorithms.

因此，对特征选择算法的研究与不同分类算法的研究都是十分必要的。

The idea of zero cost cycle is devised to solve the critical problem of minimum cost flow. Additional related results obtained include: the theory of bottleneck analysis based on minimum cost augmentation chain and zero cost cycle; the proof of the existence condition and the coherence condition of bottlenecks based on network output; methods to solve various kinds of process bottlenecks; the development of the algorithms of optimization and bottleneck analysis of MCPN (i. e, MCPN-CBA1 and MCPN-CBA2); a series of scheduling strategies and algorithms based on cost analysis, profit evaluation and bottlenecks of process flow line.

四。提出了基于工艺流程成本分析、利润评价的两类生产网络模式：最小成本生产网络和最大利润生产网络；首次提出零成本圈的概念，从而提出并研究了最小费用流的临界问题；创建了基于最小成本增广链、零成本圈的瓶颈分析理论，证明了过程瓶颈的存在性条件以及基于网络加工量的瓶颈一致性条件；给出了求解各类瓶颈的关键技术，研究开发了MCPN的瓶颈分析算法MCPN-CBA1、MCPN-CBA2；提出了一系列基于工艺流程成本分析、利润评价及过程瓶颈的调度策略和调度算法。

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。

In addition, two kinds of time series algorithms are presented for the purpose of comparison. The time series algorithms make routing algorithm more mature.

在此基础上，进一步提出并比较两种组网时间序列分配算法，完善了该路由算法。

Now there are some special algorithms such as Genetic Algorithm, Neural Network and Simulated Annealing Algorithms are effective ways to solve NP-complete problem. However, in the case of larger scale, especially in the studying of strong vertex-distinguishing total coloring for complete graph, they will show some of the inevitable shortcomings.

现已有一些经典算法如遗传算法、神经网络、模拟退火算法等是求解这类NP完全问题的有效方法，但在规模增大的情况下，特别是在完全图的点可区别强全染色的应用中，它们会表现出一些不可避免的缺陷。

The linear manifold-learning algorithms represented by PCA, with their substantial mathematical foundation and simple implementation, but they are not able to show complex nonlinear manifold structure with their linear essence, which gives rise to nonlinear manifold-learning algorithms such as Isomap, SIE etc.

以PCA为代表的线性流形学习算法有较强的数学基础，实现简单，但是其线性本质并不能揭示复杂的非线性流形结构；于是又出现了以Isomap、SIE等为代表的非线性流形学习算法。

This dissertation presents three segmentation algorithms for compressing image documents, with a high compression ratio of both color and monochromatic compound document images. The proposed algorithms greatly outperform the famous image compression methods, JPEG and DjVu, and enable the effective extraction of the text from a complex background, achieving a high compression ratio for compound document images.

本文中提出的切割方法应用於文件影像压缩，可以明显的看出压缩倍数与视觉品质优於JPEG或DjVu，而且在本文第三个切割方法中，提出新的区域性区块特徵分离与拼图式全图整合的方法，在解决复杂型复合式文件影像的文字切割问题时，即使在同一张完整的文件影像中，包含各种不同程度的复杂状况，也可以顺利的将不同颜色、不同复杂背景与不同交叠程度的文字切割出来，提高各种复杂型复合式文件影像的压缩品质。

Because of their intrinsic characteristics of hard computability, they cannot be solved accurately by efficient algorithms up to now. Since these problems have many applications in real situations, it is quite important to find some applicable algorithms.

由于难计算是这类问题的固有性质，因此它们目前尚无法用有效算法精确求解，但这些问题在现实领域中有着许多广泛的应用，因而寻找其实际而有效的算法就显得颇为重要了。

"Yes, now you can give yourself airs," she said, you have got what you wanted.

"对了，您现在高兴了，"她说道，这是您所期待的。

Then the LORD said to me: Rebel Israel is inwardly more just than traitorous Judah.

上主于是对我说：＂失节的以色列比失信的犹大，更显得正义。