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1)  incremental out-of-core algorithm for Voronoi
Voronoi增量算法
2)  Voronoi Algorithm
Voronoi算法
1.
(2)The applications of Genetic Algorithm, Voronoi Algorithm and Ant Colony Algorithm in route planning were studied, and Voronoi diagram was reconstructed by means of weighting threats cost.
(2)研究了遗传算法、Voronoi算法以及蚁群算法在航迹规划中的应用,采用威胁代价加权的方法重新构建了Voronoi图。
2.
Voronoi algorithm is used to achieve the randomness of geometric shape and irregularity of arraying order.
同时,采用Voronoi算法构建了无规则性和随机性排列的四面体、五面体和六面体柱面的随机模型,综合该三方面因素对柱状节理岩体的各向异性特性展开研究,得出不同方向承载性能和变形特性的差异。
3)  Incremental algorithm
增量算法
1.
Study of Rough Set Theory Based Incremental Algorithms and Its Application;
基于粗糙集理论的增量算法的研究和应用
2.
This paper proposes an incremental algorithm for the new reduction model.
文章提出了一种在新的约简模型下增量算法,该算法能根据决策表新增样本与原有的最简规则集的关系,快速推出新决策表的满足平均决策强度条件的最简规则集。
3.
According to the character of entropy diversification in the fields of information theory,improves three theorem of incremental decision trees and proves the validity and reliability of the new algorithm in the base of the original ID3 and incremental algorithm.
在传统ID3决策树算法和原有增量算法的基础上,利用信息论中熵变原理的特点,对与增量决策树算法相关的三个定理进行相应的改进,在理论上证明了改进的增量决策树算法的有效性和可靠性。
4)  Increment Algorithm
增量算法
1.
When link cost or topology changes,the increment algorithm is executed to update the network states,which merely computes and updates the affected links state instead of re-computing the whole route information of network.
当网络发生动态变化时,启动文中提出的增量算法来更新网络。
2.
The increment algorithm with limited gray-levels is improved.
对有限灰阶的增量算法进行了进一步的研究和改进,提出用边缘增强的训练样本代替普通样本模式进行互连权重的学习。
5)  Quasi-incremental algorithm
仿增量算法
6)  incremental algorithm
增量式算法
1.
An incremental algorithm of extracting rules in the rough set;
粗集中规则提取的一种增量式算法
2.
Based on indepth study of rough set theory,the relation between increase of objects and attribute reductions are analyzed carefully,a judgement theorem for attribute reductions of rough set with respect to increase a new object is obtained,from which an incremental algorithm is proposed and its time complexity is analyzed.
在深入研究Rough集理论的基础上,仔细分析了对象集的增加与属性约简的关系,给出了增量式属性约简的判定定理,从而提供了计算所有属性约简的增量式算法,分析了算法的时间复杂度。
3.
A CRM- oriented incremental algorithm based on the rough set theory is given in this paper to deal with the requirement resulted from the CRM domain.
文章首先介绍了客户关系管理的目标和需求以及粗糙集理论的相关概念,然后给出了基于粗糙集的导出规则的增量式算法,最后通过CRM领域中的一个实例验证了算法的有效性。
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