关联数

词组短语

incidence number

与关联数相关的网络例句 [注：此内容来源于网络，仅供参考]

The concepts of adjacent vertex distinguishing incidence coloring and the adjacent vertex distinguishing incidence coloring number of graphs are defined on the basis of the concept of incidence coloring of graphs.

在图的关联着色概念的基础上定义了图的邻点可区别关联着色及邻点可区别关联色数，研究了圈、完全二部图、Cm。

In this dissertation, we shall study the incidence coloring ofθ- graph, then we shall define the concepts of the adjacent vertex distinguishing incidence coloring and the adjacent vertex distinguishing incidence chromatic number of graphs and determine the adjacent vertex distinguishing incidence chromatic number of some graphs.

本文研究了θ-图的关联着色，定义了图的邻点可区别关联着色及邻点可区别关联色数并确定了几类图的邻点可区别关联色数。

In the third chapter, we shall define the concepts of the adjacent vertex distinguishing incidence coloring and the adjacent vertex distinguishing incidence chromatic number of graphs: For graph G, let Q_u={|u"∈N}U{|u∈N},σ: I→C is a k- incidence coloring of graph G, C_u denotes the set of colors assigned to Q_u.

在第三章中我们将定义图的邻点可区别关联着色及邻点可区别关联色数：对图G，设Q_u={|u"∈N}∪{|u∈N}，σ：I→C为图G的k-关联着色，C_u表示着在Q_u上的色集。

In order to determine the fractal dimension of the interface, structures with different rotation radii are set in the transition region. By using above regulation, the number of surface molecules of each rotation structure with certain radius can be obtained, then correlate these molecule numbers with the corresponding radii, in a logarithmic coordinate system the asymptotic slope of the correlated curve is the fractal dimension of the liquid-vapor interface.

为了确定界面的分形维数，在气液过渡区中作出不同回转半径的结构，利用（2～5）/1.2r〓规则找出其中所包含的气液界面上的分子数，然后将这些分子数与回转半径关联，在双对数坐标中此关联曲线的渐近斜率便是气液界面的分形维数。

Ifσ: I→C is an incidence coloring of G and |C|=k, k is a positive integer, then we say that G is k- incidence colorable andσis a k - incidence coloring of G; The minimum value of k such that G is k -incidence colorable is called the incidence chromatic number of G, and is denoted byχ_i, namelyχ_i = min {|C||σ: I→C is an incidence coloring of G}.

若σ：I(G→C是G的一个关联着色且|C|=k，k是一个正整数，则称G是k-可关联着色的，σ是G的一个k-关联着色；使得G是k-可关联着色的最小的k值称为G的关联色数，记为X_i，即X_i=min{|C||σ：I→C是G的关联着色}。

Through calculating the generalized dimension by covering the signal with n-dimension boxes, three dimension feature vectors including the box dimension, the information dimension and the correlation dimension are got.

首先利用覆盖法求取广义维数得到该语音信号的三维特征向量，包括容量维数、信息维数、关联维数；然后计算信号的维数特征距离；最后根据特征距离对语音信号类别进行决策分类。

Based on the research work of basic theories including phase space reconstruction,embedding theorem,correlation dimension,local dynamics,Lyapunov exponents,surrogate data etc,based on the research work of general methods such as principal component analysis,correlation dimension GP algorithm,false neighbors method,nonlinear time series prediction,local prediction, adaptive prediction,neural network model,support vector machines regression model, prediction power,nonlinear detection,coarse-graining methodology,conditional entropy and so on,the framework of nonlinear time series analysis are constructed.

在对包括相空间重构、嵌入定理、关联维数、局部动力学、Lyapunov指数、替代数据(来源：A97BC论文网www.abclunwen.com)、等基本理论与其物理意义的研究和讨论基础上；在对包括主分量分析、关联维数GP算法、伪邻近点法、非线性时间序列预测、局域预测、自适应预测、神经网络模型、支持向量回归模型、预测效果、非线性检测、粗粒化方法、条件熵等非线性时间序列一般分析方法的原理和算法研究基础上；构建了新的非线性时间序列分析的理论体系，归纳总结了非线性时间序列分析的基本问题和主要研究方面。2。

The concepts of interval grey number and the rules of four fundamental operations of interval grey number are simply stated, and then the distributive law for multiplication of interval grey number at some conditions is put forward and the distance between two interval grey number is defined.

第三章，简述了区间型灰数的概念及运算规则，给出了关于同性单性区间型灰数分配律定理，定义了区间型灰数的距离，然后利用最优化原理建立了灰关联模式识别公式，从而形成了一种新的灰关联模式识别方法。

The paper gives a simulating about a graph with incidence coloring number 6, and obtains the incidence coloring number of the graph.

文中对一个关联色数是6的图进行了仿真，得到了该图的关联色数。

A incidence degree coefficient formula for interval grey numbers is constructed, which extends classical grey incidence decision-making to the case of interval grey numbers.

首先提出了灰色区间关联系数公式，将经典灰色关联决策由清晰数的情况推广到了区间灰数的情况。

与关联数相关的网络解释 [注：此内容来源于网络，仅供参考]

Associative：关联

索引数组:索引(indexed)索引值是整数,以0开始,当通过位置来标识东西时用索引数组. 关联数组:关联(associative)关联以字符串做索引值,索引值为列名,用语访问列的数据.

incidence chromatic number：关联色数

动态色数:dynamic chromatic number | 关联色数:incidence chromatic number | 强边着色:Strong edge coloring

Environ：环境变量关联数组

CONVFMT 数字转换格式(默认值为%.6g) | ENVIRON 环境变量关联数组. | ERRNO 最后一个系统错误的描述.

incidence number：关联数

incidence matrix 关联矩阵 | incidence number 关联数 | incidence relation 关联关系

incidence coloring number：关联色数

限制染色:Restricted coloring | 关联色数:incidence coloring number | 边色数:edge coloring numbers

incidence relation：关联关系

incidence number 关联数 | incidence relation 关联关系 | incircle 内切圆

Interconnected system：关联系统

关联数|incidence number | 关联系统|interconnected system | 关联预估法|interaction prediction approach

lists：链表

在Python里,容器之于编程语言的重要地位(essentialnature)是通过把它们构建入语言核心来使其得到承认的:链表(lists)和关联数组(即映射表,字典,哈希表)都成了基本的数据类型.

Weighted stability number：权重稳定数

加权关联规则:weighted association rule | 权重稳定数:Weighted stability number | 加权公平队列:Weighted fair queue

directionality：方向

设计上面我们需要考虑的问题是关联的方向(directionality),阶数(multiplicity)和集合(collection)的行为. 在我们映射这个关联之前,先考虑这个关联另外一端. 很显然的,我们可以保持这个关联是单向的. 如果我们希望这个关联是双向的,