查询词典 algorithm

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。

this text briefly introduce association rule.by analyzing the application of classic apriori algorithm, apriori algorithm is found that it has some disadvantages. and then farm_new algorithm and the apriori algorithm of riddling compression those improving the association rule algorithm are proposed.

简要地介绍了关联规则，通过对关联分析的经典算法-apriori算法的分析，发现了经典算法apriori算法的缺陷，给出了改进的关联规则算法farm_new算法和基于筛选压缩的apriori挖掘算。

The model was based on genetic tabu algorithm of global search and BP global network of local search precision features, combined genetic tabu algorithm and BP algorithm, and used genetic tabu algorithm initial weights of BP network, at the same time,used niching technology to improve genetic tabu algorithm.

该模型基于遗传禁忌算法的全局搜索和BP网络局部精确搜索的特性，将遗传禁忌算法和BP算法有机结合，利用遗传禁忌算法优化BP网络初始权重，同时引入小生境技术改进遗传禁忌算法。

Load balancing algorithm determines the link to be used to transfer data, including round-robin algorithm, MAC address-based algorithm, IP address-based algorithm and IP address plus TCP port-based algorithm.

负载均衡算法决定传输链路的选择，常用的包括轮转法、基于MAC地址的算法、基于IP地址的算法和基于IP地址和TCP端口地址的算法。

P. Then extension is done for Bajards algorithm about efficient multiplication in GF,we use non-liner binomials instead of liner binomials used in former algorithm and give thenew algorithm. We prove the algorithm theoretically and practically that new algorithm ismore applicable and has more advantages in software implementation.

对Bajard提出的GF上乘法快速实现算法进行了扩展，使用非线性二项式代替原先算法所使用的线性二项式，给出了一个新的GF上乘法快速实现算法，理论分析和仿真试验均证明了新算法适用范围更广且复杂度更低，更适合于软件实现。

This article proposed one kind of improvement algorithm in this foundation, this algorithm has defined a filter balance factor formula, according to this formula, we readjustment filter balance factor value appropriately, through controlsling the LMS filter coefficient's freezing and the restoration, we solute echo puzzle perfectly; In the telephone condition examination algorithm aspect, in view of the busy signal examination algorithm which has has only been able to examine the busy signal, but cannot examine the dial tone, hang the staccato the deficiency, this article improves its algorithm to enable it to apply these aspects, make it can be better used in the actual system application.

本文在此基础上提出了一种改进算法，该算法定义了一个滤波器平衡因子的计算公式，根据此公式，适当调整滤波器平衡因子的阀值，通过控制LMS滤波器系数的冻结和恢复，很好的解决了回声的困扰；在话机状态检测算法方面，本文针对已有的忙音检测算法只能检测忙音，而不能检测拨号音、挂断音的不足之处，研究改进其算法使之能够应用到这些方面，更好的为实际系统的应用服务。

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制，能将词形相似且词义相近的词汇所属的句子分到同一群，经过人工验证，得到了66.1%的平均正确率；基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库，透过知网取得词汇的概念，将具相同或相似概念的特徵词汇所属的句子分成同一群，补足词形分群演算法的不足，得到72.3%的平均正确率；基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度，进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题，得到81%的平均正确率，达到更好的分群效果。

Three methods to build soft-sensor model of Radial Basis Function neural network (K-means clustering algorithm, mixed Genetic Algorithm, mixed hierarchical Genetic Algorithm) is investigated and verified in simulation.In the condition of setting hidden layer's node numbers, K-means clustering algorithm and mixed Genetic Algorithm can satisfy online prediction of component content.

研究了三种建立RBF网络软测量模型方法(K-均值聚类算法、混合遗传算法、混合递阶遗传算法)，并进行仿真试验验证。K-均值聚类算法与混合遗传算法在预先设定隐含层节点数的情况下能满足组分含量在线估计。

Firstly, on the basis of defining the characteristics of project and reviewing the mathematical models for RCPSP, we constructed the mathematical model for RCPSP under the condition that there is non-fixed duration and splittable tasks in project; In order to solve above model, we emphatically discussed the basic principle of the swarm intelligence algorithm--the particle swarm optimization algorithm as well as improvement research for current algorithm, and then proposed a new improved particle swarm optimization algorithm and analyzed its application process in the resource-constrained project scheduling problem; Lastly, in order to confirm the validity of the model and the algorithm, we took an experiment based on 108 instances that produced by problem instance generator which was developed by our team.

首先，在对RCPSP项目特征进行界定以及对项目进度优化模型回顾的基础之上，构建了基于活动工期不固定、任务可拆分特征的RCPSP的数学模型；为了求解上述模型，本文详细阐述粒子群优化算法(Particle Swarm Optimization，PSO)的基本原理以及当前对其改进的研究成果，提出了一种新的改进PSO算法，并对其在RCPSP的应用过程进行了设计；最后，为了检验模型的有效性及算法的优越性，基于梯队内部开发的案例生成器生成的108个算例，进行了仿真试验。

Researches on kernel clustering algorithms. After combining K-means clustering algorithm and the theory of kernel-based learning algorithms, we propose a fast kernel K-means clustering method which is based on CPD kernel. The experiment results indicate that the clustering effect of the algorithm is better than that of K-means algorithm, the clustering speed of the algorithm is also fast than that of K-means algorithm.

核聚类算法的研究：探讨了K-均值聚类算法，通过将核学习理论与K-均值聚类算法结合，提出了一种基于CPD核函数的快速核K-均值聚类算法，并将该算法与基于Mercer核的核聚类算法进行了比较，实验结果显示，我们的方法不仅比K-均值聚类算法的聚类效果好，而且聚类速度快。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。