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exchange algorithm相关的网络例句

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与 exchange algorithm 相关的网络例句 [注:此内容来源于网络,仅供参考]

The multi-routes k-opt exchange algorithm is firstly proposed, which is the extension in multi-routes of the traditional k-opt exchange algorithm, where the points exchanged are not only the ones in a single route but also in several routes.

本文首先提出了多路径 k-opt交换方法,该方法是传统k-opt交换方法用于多路径间的扩展,其进行交换的点不再局限于单一路径内部,而是多个路径的点都可以参入交换。

The paper makes its analysis of the three parts: exchange algorithm, outing time, its distance. given all related factors, the paper weighs average of minimum exchange by broad optimization algorithm.

论文从换乘算法、出行时间、出行距离等方面进行分析,在综合考虑相关因素的情况下,加权平均得出了一种最小换乘次数为主的广度优先算法,并应用于武汉号码百事通系统中。

The design includes many new technologies in data exchange and data security, they are: Converting non-XML data to XML in order to apply the XML security technology to more data types; Using the technology of XKMS and PKI to manage the public key in order to overcome the shortage of complexity and difficulty in using PKI and improve the efficiency of the public key management; Using Diffe-Hellman algorithm combining with the public key technology to exchange secret key in order to furthest increase the security of the key; Using the technology of XML digital signature algorithm to ensure the integrity, message authentication and signer authentication of the data; Using the technology of XML encryption to ensure confidentiality of the data; Defining delegable access rules on the structure and content of the XML documents to provide fine-grained access control. According to the XML security framework, a XML security library is designed and implemented.

在对XML及其安全技术主要包括XML加密技术、XML数字签名、公钥管理、密钥产生和交换进行研究的基础上,结合传统密码技术和XML安全技术提出了一种基于XML的数据安全模型,模型中包含了目前网络数据交换和安全领域的一系列最新技术,主要有:将非XML格式数据转换为XML格式数据的方法,以保证现有的大部分网络数据能够应用XML安全技术;使用XML公钥管理技术结合PKI技术管理公钥,以克服PKI技术实施和部署复杂、难度大等问题,提高公钥管理的效率;使用Diffie-Hellman算法结合公钥技术交换密钥,以最大限度保证密钥的安全;使用XML数字签名技术保证数据的完整性、不可否认性和发送方身份认证;使用XML加密技术保证数据的机密性;根据XML文档的内容和结构定义授权访问规则进行良好的访问控制。

Compared with the exchange and mutation operation in genetic algorithm ,crossover operation becomes helpless when adaptive value of most individules in demes have little difference.The algorithm falls into local solution and can't be solved by exchange. Although mutation can make it shake off local convergence and jump out of local solution, denteric mutation may destroy the produced module that is constructive to form the optimal solution.

相比遗传算法中的交换和变异操作,当种群的多数个体适应值相差不大时交叉操作就显得无能为力,算法陷入局部解而不能由交换解决,突然变异能够使之摆脱局部收敛而跃出局部解,但是后期的变异可能破坏已产生的对形成最优解有建设性作用的模块。

Finally we also discuss the algorithm of syllable division, correcting algorithm, multithread algorithm and algorithm dealing with the rules of vowel and consonant harmony and the final vowel change in the Uyghur language.

此外,本论文叙述了分音节算法,替换算法,多线程处理算法"语音的和谐"处理算法和"语音的同化"处理算法等关键性的算法。

The experiment result of algorithm teaching indicates that, Through training reading algorithm ability, refining the algorithmic rule ability, algorithmic language ability, applied algorithm ability, then these abilities form the resultant of forces to improve algorithm ability as a whole.

算法教学实验结果表明:通过培养阅读算法能力、提炼"算理"能力、算法语言能力、应用算法能力,使之形成合力,能促使算法能力的整体提高。

The study has focused on: 1 The research background and the current state of the power measurement were analyzed systematically, and then wavelet-based power measurement algorithm was certified feasible for astable signals; 2 We developed a new method of RMS and power measurement based on Dmeyer wavelet. After that three other wavelet measurement approaches were compared with Dmeyer wavelet-based measurement approach. Then the impact on measurement errors of amplitude frequency property and energy leakage of wavelet filter banks were deeply researched, and some measures were proposed to reduce it; 3 We developed a new strategy of power measurement algorithm based on lifting wavelet, which had calculation advantage compared with the first wavelet, so that it was more suitable for the realization of hardware; 4 The running system of wavelet-based power measurement algorithm based on DSP was proposed, and then it was realized on ICETEK-VC5416-A EVM board; 5 Existing problems and the further research direction of wavelet-based power sub-band measurement algorithm was discussed.

本文对基于小波变换的功率测量算法展开深入的分析研究,主要内容有:1)系统地分析了功率分解测量的研究背景、国内外的研究现状,并从能量守恒的角度验证了小波功率分频带测量算法在非平稳信号条件下的可行性;2)首次提出了Dmeyer小波变换有效值与功率的测量方法,进而通过对该方法与3种已经提出的小波测量方法的对比分析,深入研究了小波滤波器组的幅频特性和能量泄漏特性对测量误差的影响,并针对电网谐波的特点提出了减小影响的相关措施;3)首次提出了二代小波功率测量算法,对比一代小波功率分频带测量算法,它大大减少了算法实现的运算量及内存的需求量,从而更适合于硬件的实时实现;4)提出了小波功率分频带测量算法的DSP实现方案,并在ICETEK-VC5416-A EVM板上进行了实现;5)探讨了小波功率分频带测量算法目前仍存在的问题,并提出了进一步的研究方向。

Based on X-filtered LMS algorithm and -filtered LMS algorithm adaptive inverse control, we use a new variable step size LMS algorithm. Adding little computation, variable step size LMS algorithm can result in fast convergence speed and low residual error simultaneously. The adaptive feedback control can counteract the beginning error of the system. The adaptive disturbance canceler can best erase noises and disturbances.

在原来的X-滤波LMS算法自适应逆控制和-滤波LMS算法自适应逆控制方法的基础上,引入了新的变步长LMS算法,在计算量增加不多的前提下,能同时获得较快的收敛速度和较小的稳态误差;引入自适应的反馈补偿控制克服了被控系统的直流零频漂移,使控制系统在初开始工作阶段快速收敛;还引入自适应扰动消除器,它能最大限度的消除扰动。

The concept of genetic algorithm, its configuration, operators and existing problems are introduced in this paper. A new algorithm for clustering analysis is presented based on genetic algorithm. There are two characteristics in our approaches. Firstly, the algorithm is the general-purposed and our clustering analyzer can cluster large data set with mixed numeric and categorical attributes.

4介绍遗传算法的概念、算法结构、运算算子及主要存在问题;提出了一种基于遗传算法的聚类新方法MGA,该方法有两个主要优点:一是通用性强,可以对包含数值属性和符号属性的大数据集进行聚类;二是提高了数据挖掘的效率与质量。

Meanwhile, the experiments show that the multi-level swarm intelligence refinement algorithm is better than the multi-level tabu search refinement algorithm, especially in view of the probability that the approximate global minimum partition of the coarser graph may be the local minimum partition of the finer graph. Furthermore, the experiments show that the multi-level ant colony optimization refinement algorithm achieves more performance improvement than the multi-level particle swarm optimization refinement algorithm, using the gain of vertex more effectively.

实验数据反映出,针对最小图上的全局最优剖分可能是初始图的局部最优剖分、粗化图上的全局最优剖分可能是细化图的局部最优剖分的情况,基于群智能的多水平迁移优化算法相比基于禁忌搜索的多水平迁移优化算具备更强的逃离局部最优的能力;基于蚁群的多水平迁移优化算法相比基于微粒群的多水平迁移优化算法,对收益值的启发信息更为有效地利用,取得最佳的性能改进。

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法国人并不是在建议签署一个新的欧盟条约,但他们有许多其他的阴谋。

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