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Based on the propagation algorithm of signal probability,the decomposition algorithm of a multi-input XOR/AND gate,and the multiple segment algorithm of polarity conversion,this paper successfully applies the whole annealing genetic algorithm to find the best polarity of an RM circuit.

徐建 宁波大学电路与系统研究所,宁波 315211针对n变量逻辑函数在不同极性下所对应REED-MULLER 电路功耗和面积不同的特点,对信号几率传递算法、多输入XOR/AND门的低功耗分解算法和多成份极性转换算法进行了深入研究,成功地将整体退火遗传算法(whole annealing genetic algorithm,WAGA)应用于RM电路最佳极性的搜索。

The method solves the limitation of converging to the local infinitesimal point in medical image segmentation,and adopts the initial algorithm to assure the initial searching scope of genetic algorithm which is better accommodable than standard genetic algorithm with fuzzy C-means clustering,speeding up the convergence of genetic algorithm.

该算法除了解决模糊C均值聚类算法在医学图像分割中容易陷入局部最优解的问题,而且采用的初值化算法比标准的遗传模糊C均值聚类算法能确定更合适的遗传算法的初始搜索范围,从而加速了遗传算法的收敛过程。

We gave out a new method of finding community structure on the basic of divisive algorithm and agglomerative algorithm--agglomerative algorithm based on diversity index. We also used the algorithm in classic Zachary network and found the result is in accordance with the real network.

2本文在分裂算法和凝聚算法的基础上也提出了一种新的算法——基于相异性指数的凝聚算法,并将它运用于经典Zachary网络,结果与现实网络完全符合。

This thesis focuses on studying the matrix equa-tion problem systematically, and proposed an abstract algorithm of solving the matrixequation with constraints, and established a strict convergence theory. Using this algo-rithm, we can solve the sets of matrix equation satisfying some constraint conditions,such as symmetric, antisymmetric, centrosymmetric, centroskew symmetric, re?exive,antire?exive, bisymmetric, symmetric and antipersymmetric, symmetric orthogonalsymmetric, symmetric orthogonal antisymmetric, Hermite generalized Hamilton ma-trix;So we can solve the problem with this algorithm, if the set of constrain matrixcan make a subspace in matrix space, and this algorithm also can solve the optimalapproximation and least squares problem. So this abstract algorithm has universal andimportant practical value.

本篇硕士论文系统地研究了此类问题,并找到了求解约束矩阵问题的抽象算法,并建立严格的收敛性理论,利用这一算法可求解约束条件为对称矩阵、反对称矩阵、中心对称矩阵、中心反对称矩阵、自反矩阵、反自反矩阵,对称正交对称矩阵、对称正交反对称矩阵、双中心矩阵、Hermite广义Hamilton矩阵等;可以说只要约束矩阵集合在矩阵空间中构成子空间,都可以考虑用此算法求解,而且这一算法还能把矩阵方程解及其最佳逼近,最小二乘解及其最佳逼近统一处理,因此本文算法有普适性和重要的实用价值。

Then an in-depth analysis and comparison between anticipated hard handover and two network interfaces soft handover are performed. Based on that, we propose two paths IP soft handover and its algorithm. The entire algorithm includes second capsulation algorithm of train part and decapsulation and data recovery algorithm of railway and control center part.

通过分析和比较预扫描硬切换和双网络接口软切换,本文提出了双路径IP软切换方案并设计了双路径IP软切换算法,整个算法包括车载部分的二次封装算法和轨旁及控制中心部分的解封装和数据还原算法。

Three point registrations and ICP (Iterative Closest Point Algorithm) algorithm are used to register for multi-view data. The angle-and-chord's algorithm is advanced which is based on chordal deviation algorithm for data sampling. The method is proved to be effective and right by some examples.

采用基于参考点的对齐算法和ICP算法实现多视点云的对齐,在弦高差方法的基础上提出一种弦高角度法实现点云数据的精简处理,完成数据精简,实例应用表明所提方法精简效果好,数据的压缩效率高。

The algorithm needn't generate candidate itemsets and scan database, because it employs FP-Tree to store trasanctions in database compressedly and takes full advantage of the characteristic of FP-Tree.Consequently,the complexity of space and time the algorithm used is reduced obviously in the procedure of data mining.In a thorough experimental analysis of our algorithm on real and synthetic data,we isolate the effect of the individual components of the algorithm. Our performance numbers show that MFP-Miner outperforms previous work.

该算法利用频繁模式树来压缩存储数据库中的事务,并充分利用频繁模式树的特点,在挖掘最大频繁项目集的过程中不需要产生候选项目集和扫描数据库,从而减少了算法在挖掘过程中使用的存储空间和计算时间,通过实验结果显示,该算法的性能优于同类算法。

The entropy-directed algorithm needs manual intervention to construct fault isolation strategy,and it is ofεhigh computation complexity.Theoretical analysis and experimental results illustrate that the entropy indirected algorithm remedies such deficiency. The MFIT of the strategy by this algorithm is about 38% less than that by the entropy- directed algorithm under the assumption of unequal fault rate.

实验验证和理论分析表明,该方法弥补了直接熵法构造故障隔离策略时需进行人工干预、计算复杂性高的不足;在不等故障概率的假设条件下,平均故障隔离时间比直接熵法减少约38%。

This paper describes a new algorithm of image enhancement of impulse noise based on PCNN time matrix and rough sets indiscernibility relation. For noisy gray images, the results of computer simulations show that the image noise can be reduced efficiently and the image becomes clear and the target details of the image can be enhanced better by using this algorithm. In addition, the effects of this algorithm are better than usual image enhancement algorithm.

基于粗集理论中的不可分辨关系的等价概念及PCNN赋时矩阵,提出了一种含有脉冲噪声的图像增强算法,计算机仿真结果表明,对被噪声污染的灰度图像,用基于PCNN与粗集理论相结合的图像增强算法处理后,图像噪声得到有效抑制,画面更清晰,图像中目标的细节也得到了很好的增强,其结果优于常规方法。

This paper analysised the current problem in traffic path chosen generally, presented the expression and storge structure in computer of traffic data, discussed and researched the traditional algorithm of current optimal path chosen, which contained Dijkstra Algorithm, Floyd Algorithm and A* Algorithm.

论文综合分析了当前道路交通中在路径选择方面存在的问题,介绍了道路交通数据的计算机表示方式与存储结构;讨论研究了当前路径选择的几种经典的算法,分别研究了Dijkstra算法、Floyd算法、A*算法。

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