查询词典 supporting hyperplane

And the scheme for constructing sliding mode hyperplane with the solution of the algebraic Riccati equation of nominal system is proposed.

在匹配不确定线性系统的鲁棒控制方面，本文总结了一些现有的鲁棒控制算法，为船舶运动控制的实际应用奠定了基础。

In this paper,making use of hyperplane method,we improve the proof of the separation theorem;On the other hand,we use a new method of moving neighborhood to simplify the proof for the continuity of a subconvex function defined on a convex in a normed linear space.

在巴拿赫空间理论中，Hahn-Banach泛函延拓定理作为泛函分析三大基本定理之一，分隔性定理是Hahn-Banach定理的重要应用，本文利用"超平面"的方法，改进了一个分隔性定理的证明；另外，本文利用邻域的"平移"方法，给出了定义在赋范线性空间内的凸集上的次凸泛函连续性的简捷证明。

The idea of this algorithm is to find the optimal solution in the feasible region by an iterative step from one basic standard hyperplane to another.

此算法的基本思想是在规划问题的可行域中由所建的一个切割面到另一个切割面的不断推进来求取最优的。

A new SVM is presented in this paper to solve the approximately linear separable problem of pattern recognition:First,we transform the two convex hulls which are made up of the approximately separable training set to make them separable;Second,we can figure out a separating hyperplane by halving the nearest points method or maximal margin method;Then,we get the approximately linear SVM by solving the dual problem of maximal margin method.

对模式分类中的近似线性可分问题提出了一种新的近似线性支持向量机：先对近似线性分类中的训练集所形成的两类凸壳进行了相似变形，使变形后的凸壳线性可分，再用平分最近点和最大间隔法求出理想的分划超平面，然后再通过求解最大间隔法的对偶问题得到基于相似压缩的近似线性SVM。

First, the two convex hulls from the training set of approximate linear classification are similarly squeezed into the linearly separable ones, and based on the two similarly squeezed linearly separable convex hulls, an optimal separating hyperplane is figured out by using the method of halving the nearest points and the maximal margin method.

首先对近似线性分类中的训练集所形成的两类凸壳进行了相似压缩，使压缩后的凸壳线性可分；基于压缩后线性可分的凸壳，再用平分最近点和最大间隔法求出最优的分划超平面。

The separating hyperplane of traditional support vector machines is sensitive to noises and outliers.

摘要传统的支持向量机分类超平面对噪声和野值非常敏感。

The main idea of the proposed method is to adjust parameters of the hyperplane of support vector machine for classifying new facial data.

主要的想法是利用调整支持向量机(Support vector machine， SVM)的切割平面系数，来达到辨识新表情资料的目的。

First of all, studies the structural characteristic of the controllable region by means of the support hyperplane of the.convex set,then the synthesis problem of minimum step and minimum energy control sc.quence ...

利用凸集的支撑超平面等方法首先研究了能控域的结构特性，然后定义控制能量受限下的最小拍最小能量控制序列的综合问题。最后还给出了求解最小拍最小能量控制综合序列的计算方法。

Support Vector Machine is a new learning method based on hyperplane classification, and its powerful in common use.

支持向量机是一种基于超平面分类的新的学习方法，具有很强的泛化能力。

When the regression equation has more than two independent variables, it defines a hyperplane.

当回归方程有2个以上的自变量时，形成的是一个超平面。

"Second Life is remarkably easy to work with, and is very popular,"

"第二次生命是显着容易的工作，并且很受欢迎，"

For example, we usually assume that materials are homogeneous and isotropic and free of internal defects or flaws.

为了得到适合有限元分析的模型，我们必须经过如图2所示的简化步骤。