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equivalence class相关的网络例句

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

Calculating the equivalence class U/C and the discernibility matrices size are the two main factors which affect the efficiency of the attribute reduction algorithm based on discernibility matrices.

影响基于差别矩阵的属性约简算法效率的主要因素有计算U/C等价类和差别矩阵的大小。

The idea of our algorithm is equivalence class classification for continuous time is constrained by a relation between the remaining delay time of triggering event and time value of DTA clocks or the remaining delay time of other events.

和同类算法相比,我们的算法用更广义的延迟时间等价类取代同类算法中受事件先后顺序约束的单元延迟时间等价类,并且不必生成那些仅仅因为时间流逝而产生的状态等价类。

On the aspect of functional testing, this paper represents the concept of functional testing and focuses on the functional test suite design. Based on the in-depth study of GSM-R network E-interface services and considering the completeness and redundancy of the test suite, equivalence class method is used to design the test suite, and then an analysis of its inadequate is conducted and a new design method is proposed .The two methods are compared and a suggestion on how to design a GSM-R network interoperability test suite is given.

功能性测试方面,本文阐述了功能性测试的概念,重点研究了功能性测试集的设计方法;在深入研究分析GSM-R网络E接口业务的基础上,分别考虑了测试集的完备性和冗余性,首先使用等价类划分方法设计了E接口的测试集,然后对其不足进行了分析,并提出了一种新的设计方法,最后对两种设计方法进行了对比分析,对如何设计GSM-R网络互联互通测试集提出了建议。

In this paper we study the translation equivalence class es of linear recurring m -arrys, and give respectively the enumeration of m -arrays with fixed period vectors and with a fixed linear complexity.

本文研究线性递归m—阵列的平移等价类,分别出了具有相同周期和相同线性复杂度的m—阵列的平移等价类的计

Based on rough set theory, research in this paper mainly focuses on mining rules from decision system.Based on the research of the basic concepts of rough set, we deeply analysis and discuss the approximation set algorithm, equivalence class algorithm, core algorithm, attribute reduction algorithm, rules extract algorithm etc.

本文首先对数据挖掘和知识发现作一概述,并论述了粗糙集理论的重要概念及其度量,基于这些概念和度量,具体分析了粗糙集理论的近似集算法、核算法、属性约简算法、规则提取算法,给出了它们的算法分析以及具体实现步骤。

An algorithm of eliminating the correlation of synthetic indexes based on index equivalence class is proposed in terms of Dijkstra algorithm. The reduction ranges of evaluation indexes can be reduced, and the anterior reduction results are used to increase the efficiency.

借鉴Dijkstra算法,提出了基于指标等价类的合成指标动态约简算法,即通过等价类划分来缩小参与约简的指标范围,并充分利用前一次约简以求得最终指标约简的结果。

For example, a reasonably trained, reasonably motivated programmer can do a perfectly fine job finding boundary conditions and checking whether each known equivalence class is handled.

例如,一个接受过一定培训、有一定积极性的程序员可以很好地找到边界条件,并且检查每一个等价类是否都处理了。

Around TLDM, we discuss the definition, representation, calculation and reasoning of their relationships in two-dimensional space. TLDM also considers map design and spatial analysis based on equivalence class.

为此,本文提出并实现了一个面向对象的三级地图数据模型TLDM,并围绕该模型讨论了二维平面上地图对象以及空间关系的定义、表示、计算和推理、地图的构造和输出以及基于等价类的空间分析等。

The observational data can only identify an equivalence class of DAGs, so we must perform intervention experiments to determine the directions of reversible edges from experimental data.

然而,仅有观察数据只能识别出DAG的一个等价类,而不能唯一确定其中的一个DAG,因为可反向边的方向不能确定,所以,必须进行干预实验。

In the first place, on the base of studies concept ascending and attribute dependency, we forward a method to select attribute value partition, which can effectively resolve the problem of minimum faith and minimum support, in order to induct potential knowledge from standard discrete symbolic data, the dissertation studies join operation for generating candidate set and delete operation for deleting redundant equivalence class, and propose an recursion algorithm to realize highly generalization of data.

首先在研究概念爬升方法和Rough集理论中属性隶属度原理的基础上提出了一个划分属性值区间的算法,该算法能够有效的解决最小支持度问题和最小信任度问题。进而为了从已离散化的数据中概括出潜在的规则,研究了生成侯选集的交运算方法和排除冗余等价类的删除方法,然后利用循环推进机制实现对数据的概括。

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