• Algorithm rules influence the drawing results through algorithms, including traditional fractal algorithms and a number of adjustments or changes based on the traditional fractal algorithms.

    算法规则通过算法影响绘图效果,它既包括传统各类分形算法,又包括在传统分形算法的基础上进行的一些调整或改变。

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  • The algorithm then identifies exactly the combinations of items and the rules that fulfill these criteria.

    算法还能准确表述出满足这些标准的项目和规则的组合。

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  • In this paper, in studying absolute Angle measurement principle basis designed coding rules of a Single-ring code and formulated the appropriate software algorithm.

    本文对绝对编码法测角原理进行研究的基础上,设计了一种具有发明专利的单码道编码规则,并根据规则制定了相应的软件算法。

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  • I could improve the algorithm, adding bells and whistles such as phenotypes or more flexible rules, or I could have more fun with the fitness function.

    我可以改进算法,添加诸如表现型(phenotype)或更灵活的规则之类的小功能部件,或者可以进一步改进fitness函数。

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  • The bulk of the Metaphone algorithm is a set of rules that map letter combinations into the consonant classes.

    Metaphone算法整体上是一套规则集,可以把字母组合映射成辅音类。

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  • While there are many minor variations of the Soundex algorithm, they all have scant knowledge of English spelling rules, not to mention the exceptions to these rules.

    虽然soundex算法有许多小的变体,但是他们都缺少对英语拼写规则的认识,更不用说这些规则的例外了。

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  • I have used the ordered-permit-override algorithm, so the rules are evaluated in the order in which they are specified in the policy.

    我使用了ordered - permit - override算法,因此将按照策略中规定的顺序评估规则。

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  • On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.

    提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。

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  • Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.

    基于数据变换法,提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。

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  • This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.

    首次提出了利用幂集作为挖掘关联规则的工具,给出了基于幂集的关联规则挖掘算法。

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  • The necessary conditions for optimal sensor decision rules are derived, and a numerical algorithm is designed for finding the optimal sensor decision rules.

    在非理想信道条件下,推导了两部传感器的最优判决规则,并给出了求解最优判决规则的数值迭代算法。

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  • Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision-making table dynamically are put foreword so as to reduce the computing complexity.

    一方面分析了动态自主知识获取问题中的决策表动态约简问题,确定了在获得基本最小规则集后动态增加或减少规则的算法。

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  • This paper designs an algorithm for mining a kind of as- sociation rules that the antecedent and action of such a rule belong to different conceptual classes, referred to class bridges.

    设计一个算法挖掘这样的有趣规刚,它的前件和后件分别属于不同的概念类,称这种规则为类间桥。

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  • First, the new target is characterised, then an algorithm[color=#FF0000] (a series of rules programmed into a computer) is devised to detect it in scanned samples.

    首先,新目标会被识别,[color=#FF0000]然后一个运算法则(一串被输入进电脑的运算法则)会被设计出以在被扫描物品中侦测爆炸物。

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  • The typical Mining Association Rules algorithm is by R.

    典型的关联规则发现算法是由R。

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  • Experiments on UCI data sets show that compared with traditional methods our algorithm can get more accurate rules in a shorter time.

    UCI数据库上的实验结果表明,与传统方法相比该算法能够在更短的时间内得到分类精度更高的规则。

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  • Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.

    通过采用二进制串表示所定义的信息粒,提出了基于粒计算的关联规则挖掘算法。

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  • The experimental results show that the algorithm can correctly reduce rules for real value attribute information system.

    结果表明,该算法能够正确地对实值属性信息系统进行规则约简。

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  • An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.

    充分考虑了可辨识矩阵的特性,提出一种基于类别特征矩阵的决策规则提取算法。

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  • Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.

    结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。

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  • After analyzing the three metrics of rules: support, confidence, coverage, this paper quantifies them and proposes an algorithm for rules extraction.

    分析规则的三个度量标准:支持度、置信度、覆盖度,对其进行量化,并提出一规则提取算法。

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  • Because this algorithm does not use rules based on special knowledge, it is current and robust.

    该算法不用基于领域知识的规则,具有很强的通用性与鲁棒性。

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  • Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.

    在算法实现的过程中对关联规则集存储结构进行了优化,并扩展了类sQL查询语句。

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  • Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.

    在算法实现的过程中对关联规则集存储结构进行了优化,并扩展了类sQL查询语句。

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