查询词典 kernel function

As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space.

对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。

Each sample point is shifted to the local maximum of the kernel function by a mean-shift based clustering procedure.

提出了一种快速去除散乱点云数据表面噪声和离群点的鲁棒滤波算法。

By dealing with regularization error,sample error and hypothesis error,we estimate the total error in terms of properties of the kernel,the input space,the marginal distribution,and the regression function of the regression problem.

样本相关的假设空间将为误差分析带来一项额外的假设误差，这一点与通常情况下样本无关的假设空间有本质的区别。

This project studies the scale-dependent deformation behavior of the metal matrix composite, the void nucleation and void growth mechanisms at the micron/submicron scale. The main results are:(1) In prophase, growth and coalescence of the void embedded in the graded matrix are analyzed in detailed;(2) Based on the infinite solid model containing a micro-void, coupling effects of the void shape and the void size on the void growth are studied carefully, the results show that it seems to exist a critical equivalent void radius, which is associated with the material length. When radius of a microvoid is close to or smaller than the critical void radius, the micro-void growth rate is essentially eliminated;(3) The coupling effects of the particle shape and size on the mesoscopic stress fields within the particle and matrix are also investigated by introducing the conception of inclusion/matrix interfacial energy. The results show that the stress concentration factors within the particle and on the matrix/particle interface are also strongly size-dependent,so the void nucleation mechanism is size-dependent.(4) By employing a specific orthogonal curve coordinate frame and a 'kernel function' conception, a 'unified method'solving the spheriodal and spherical void problems is suggested; by this unified method, size-dependent plastic potentials of the porous materials containing the spheriodal or spherical voids are obtained, which extend the traditional Gurson model for the spherical void and GLD model for the spheriodal voids to the micron scale.(5) Based on the RVE model containing the spheriodal or spherical particles, the influences of the particle shape and size on the size-dependent mechanical behavior of metal matrix composite are studied.

中文摘要：本项目对金属基复合材料在微细观尺度下的尺度相关变形行为、孔洞形核及长大的机理和模型进行了研究，取得了如下主要结果：1）在前期研究中，探讨了基体的梯度分布对孔洞长大和聚合的影响；2）基于含孔洞的无限大体模型，探讨了孔洞形状和孔洞尺寸对其长大的耦合作用，结果表明：可能存在一个与材料特征长度相关的临界孔洞尺寸，当椭球孔洞的等效半径小于临界孔洞半径时，孔洞的长大受到明显抑制；3）通过引入基体/夹杂界面能的概念，分析了夹杂尺寸、夹杂形状对材料细观应力场的耦合影响，结果表明：颗粒内部和界面上的应力集中因子强烈地依赖于夹杂的尺寸和形状，因此，孔洞的形核机理是尺寸相关的；4）采用一种特殊的正交曲线坐标系和引入"核函数"的概念，"统一"地得到了含椭球和球形孔洞的材料的尺寸相关塑性势，它将传统的Gurson球形孔洞模型和GLD椭球孔洞模型推广到微尺度范围；5）基于含椭球和球形夹杂的体胞模型，初步研究了夹杂形状、夹杂尺寸对金属基复合材料尺寸相关力学行为的影响。

Be together many kernels conformity, let every kernel move below inferior frequency, thereby the power comsumption of each odd kernels drops and apportion arrives on many kernels, the result that gets from this is much nucleus function exceed odd nucleus processor considerably.

将多个内核整合在一起，让每个内核在较低的频率下运行，从而各个单内核的功耗下降而且分摊到多个内核上，由此得到的结果就是多核性能大幅超过单核处理器。

In this paper, based on the analysis of the core concepts in the Kernel method, the basic principles of the multiclass classification based on the one-class classification were studied, and the reliability function applied to the multiclass classification was put forward, which makes the classif.

在分析一种非线性数据处理新方法的核心概念基础上，研究了基于一类分类方法的多类分类基本原理，提出了应用于多类分类的可信度函数，使聚类与分类的结果更具有可信度。

It is presented to choose σ parameter of kernel function on dynamic, which enhances preciseness rate of diagnosis.

神经网络方法(Neural Networks，NN)在故障诊断中的应用研究取得了很多的成果，但它在网络结构选择、网络的训练及提高网络的泛化能力等方面存在的许多问题，限制了它在工程实际中的广泛应用。

KNN analysis was independent of the correlated regression model, but directly affected the model structure. Via KPCA as a middle layer, under the instruction of assorted result of the kernel function, the method was able to capture the high-ordered principal components among the secondary variables, and use SVR to establish a correlated regression model between the featured principal components and the primary variable.

KNN分析独立于后继回归模型，却又直接影响模型结构，KPCA作为中间层，在KNN分类结果指导下提取不同类别包含辅助变量高阶信息的特征主元，然后使用SVR建立特征主元和主导变量之间的回归模型。

Baysian model is combined with kernel density function to give a new detecting object method in probability space.

实验证明，利用该方法可以得到更好的检测结果。

Random number generation is a support function that the kernel performs to help randomize some of its own activity.

随机数生成器是一个辅助功能，可以让内核帮助它们实现一些随机化的活动。

Many will continue to choose to live in duality and in conflict.

许多人将继续选择活在二元对立性和冲突中。

I find that students of the University of Physical Education all wear sportswear at first sight.

我发现：体育大学的学生乍一看，都是穿运动衣，大家都一样