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generalized相关的网络例句

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In this paper, taking the downward continuation of potential field as an inverse problem of upward continuation, we obtain a convolution type linear integral equation for downward continuation. Making use of the orthogonal symmetry characteristic of Fourier transform matrix, and combining the principles of singular value decomposition of matrix and generalized inverse, we proposed a stable generalized inverse method for downward continuation of potential field, called wavenumber domain generalized inverse algorithm, which doesn't need the computation for inverse matrix. It resolves the instability of potential field downward continuation of large depth.

本文通过把位场向下延拓视为向上延拓的反问题,得到向下延拓的褶积型线性积分方程,再利用Fourier变换矩阵的正交对称特性,并结合矩阵的奇异值分解和广义逆原理,提出了一种稳定的不需要进行求逆运算的位场向下延拓广义逆方法——波数域广义逆算法,解决了位场大深度向下延拓的不稳定性问题。

Exponential family nonlinear models, or generalized nonlinear models are generalized from generalized linear models and nonlinear regression.

指数族非线性模型或广义非线性模型是广义线性模型和正态回归模型的自然推广。

The early references include -[5], which are based on the linear models or generalized linear models; on the other hand, [6]-[10] are those based on the nonlinear models which are more practical. But they are all restricted in the exponential family of distributions. That will not practice in most of the trials. Although being the most flexible among them, the estimation methods in [1] has many disadvantages for requiring the model to be generalized linear. Based on [1], this paper extended the method to the generalized nonlinear model.

较早的如[1]-[5],他们都是基于线性或广义线性模型进行分析研究;而基于更为实用的非线性模型的研究则有:[6]-[10]等,他们大多由于模型要求数据属于指数分布族或者模型假定为线性模型,这都限制了模型的实用性,其中以[1]所提的一系列广义线性估计方程实用范围较广,但其模型中要求的广义线性模型还是具有一定的局限性。

The Dinkelbach-type algorithm for generalized fractional program whose objective function is composed of infinite fractions was generalized. Properties of a parameter program and convergence of a class of generalized algorithm were discussed.

就一类目标函数中有无限个分式的广义分式规划问题,在已有的相应的Dinkelbach型算法的基础上作了进一步的推广,使其成为一簇算法;讨论了一个参数规划的性质和该簇算法的收敛性。

The weighted Moore-Penrose inverse is a special generalized inverse which is an important basic tool in many branches of mathematics and has extensive applications in other fields such as economics, information processing, automatic control, etc. Recently, the study of generalized inverse of matrices associating with more general algebra such as ring, semiring and so on generalize the theory and methods of generalized inverse deeply and characterize the structure of algebra as well.

加权Moore-Penrose逆是一种特殊的广义逆,它不仅是许多数学分支的基本工具,而且在经济学、信息处理、自动控制等其他领域有着广泛的应用,近年来,结合环、半环等更一般的代数系统的矩阵广义逆的研究,不仅将广义逆的理论和方法作了更加深入的推广,而且也成了刻画代数结构的有力工具。

A relativistic transformation of generalized coordinates is discussed and it is found that the first law of thermodynamics and the equation of state of an ideal gas are invariant with respect to the relativistic transformation of generalized coordinates , so that the existence of relativistic transformation of generalized coordinates is reasonable.

讨论了一个涉及热力学的广义坐标的相对论变换,发现热力学第一定律和理想气体状态方程对广义坐标的相对论变换具有不变性,表明广义坐标的相对论变换有其存在的理由

Finally, the calculation process of CGR graphic's multi-fractal analysis was studied. the scope of choice of the weight factor and the scale invariance range were discussed, the weight factor can be chosen as ? 15≤q≤50; multi-fractal spectrum and generalized dimension of different sequence were calculated, multi-fractal spectrum and generalized dimension in different scales of different sequences were compared, it was found that multi-fractal spectrum and generalized dimension can show different levels of fractal characteristics of CGR graphics of DNA sequence, which can distinguish more complex structure of sequences.

最后,研究了DNA序列CGR图形的多重分形的计算过程,讨论了权重因子及满足标度不变性的范围选择等问题,得到结论:对CGR图形进行多重分形时权重因子可以选择为-15≤q≤50;计算了不同序列的多重分形谱和广义维数,比较了不同序列不同尺度的多重分形谱和广义维数,发现多重分形谱和广义维数能够表现DNA序列CGR图形的不同层次的分形特征,能够区分更复杂的序列结构。

A generalized Gaussian Laplacian eigenmap algorithm based on geodesic distance is proposed,which incorporates geodesic distance and generalized Gaussian function into the original Laplacian eigenmap algorithm.GGLE algorithm can adjust the similarities between nodes of neighborhood graph,and can preserve the different degrees of local properties by using super-Gaussian function,Gaussian function or sub-Gaussian function.Moreover,GGLE can avoid the deficiency of Euclidean distance by using geodesic distance when neighborhoods of data points are enlarged for preserving more neighborhood relations.Experimental results show that the global low-dimensional coordinates obtained by GGLE have different clustering properties and different degrees of preserving local neighborhood structures when different generalized Gaussian functions are used to measuring the similarities between high-dimensional data points.(3) An ensemble-based discriminant algorithm based on GGLE is proposed.

该算法将测地线距离和广义高斯函数融合到传统的拉普拉斯特征映射算法中,可以调整近邻图结点间的相似度,通过选择超高斯、高斯或者次高斯函数来实现不同程度的近邻局部特性的保持;而且当需要保持更多的近邻关系使得数据点邻域增大时,采用测地线距离可以避免欧氏距离度量不合理的缺陷;实验结果表明在用不同的广义高斯函数度量高维数据点间的相似度时,局部近邻结构保持的程度是不同的,GGLE获得的全局低维坐标也呈现出不同的聚类特性。

In this thesis, we study two problems: the existence results of solutions for generalized vector quasi-equilibrium problems and Hlder continuity of solutions to generalized vector equilibrium problems. The detailed contents are listed as following:In Hausdorff topological vector space, we discuss the existence results of solutions for three types of generalized vector quasi-equilibrium problem (GVQEP1,(GVQEP2) and (GVQEP3), for short respectively.

本文主要研究了两类问题:广义向量拟平衡问题解的存在性以及广义向量平衡问题解的Hlder连续性,具体内容如下:在Hausdorff向量拓扑空间中,讨论了三类广义向量拟平衡问题(GVQEP1),(GVQEP2)和(GVQEP3)解的存在性定理。

Generalized Linear Models are an extension of the linear modeling process that allows models to be fit to data that follow probability distributions other than the Normal distribution, such as the Poisson, Binomial, Multinomial, and etc.. Generalized Linear Models also relax the requirement of equality or constancy of variances that is required for hypothesis tests in traditional linear models. Hypothesis tests applied to the Generalized Linear Model do not require normality of the response variable, nor do they require homogeneity of variances.

广义线性模型是线性模型的扩展,对数据的要求不必局限于服从正态分布,同时放松了对"方差一致性"的要求,这在传统的一般线性模型假设检验中是必不可少的,而在广义线性模型假设检验中,响应变量也可以服从其它分布(如:泊松分布,二项分布及多项分布等)。

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