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separable相关的网络例句

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与 separable 相关的网络例句 [注:此内容来源于网络,仅供参考]

On the basis of method of derivative on the left and the right of separable function,the derivability of separable function on demarcation point was simply distinguished,and derivative continuity on demarcation point discussed.

运用研究分段函数的导函数的左、右极限的方法,简便地判明分段函数在分界点处的可导性;同时讨论了分界点处导数的连续

Group testing; d—separable matrix;—separable matrix; d—disjunct matrix; error-tolerant matrix; construction of separating matrices; transversal design; probabilistic method; Las Vegas algorithm; line graph; competition number

基础科学,数学,代数、数论、组合理论群试理论; d-可分矩阵矩阵;-可分矩阵; d-分离矩阵;容错矩阵;横向设计;概率方法; Las Vegas算法;线图;竞赛数

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。

This paper presents a method to embed the original problem into separable parametric optimization problems and proves that the optimal solutions of the original problems are in the set of solutions of separable parametric optimization problems.

本文把原问题嵌入到可分的参数规划问题中,并证明了原问题的最优解包含在可分的参数规划问题的最优解集中。然后从最优解集中挑出原问题的最优解。

Ln this paper, a new learning method is presented which is based on analyzing a set of linear separable structures. The most important benefit of this method is all binary neurons belong to one or more types of linear separable structure sets. If those linear separable structure sets have clear logical meaning, the whole knowledge of binary neural networks can be dug out.

该文提出了一种基于线性可分结构系结构分析的学习算法,采用这种方法对布尔空间的样本集合进行学习,得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系,只要这几类线性可分结构系的逻辑意义是清晰的,就可以分析整个学习结果的知识内涵。

In chapter 1, the achievement on multiple-valued logic at home andabroad is introduced briefly. In chapter 2, some decisions for theminimal covering of the regular separable sets in partialmultiple-valued logic is studied under the condition of σ=e andm=2 . We reach some conclusions that certain regular separable setsmustn't be the minimal covering of Pk under some conditions.

第一章,简要介绍了国内外在多值逻辑方面的研究成果;第二章,对部分多值逻辑中,当σ=e时,二元正则可离函数集最小覆盖之判定作了研究,并得出了当σ=e时,一些满足一定条件的二元正则可离函数集不是Pk 之最小覆盖成员的结论。

The role of hidden layer neurons of a RBF neural network can be interpreted as a function which maps input patterns from a nonlinear separable space to a linear separable space.

RBF神经网络的隐层神经元的作用可解释成从非线性可分空间向线性可分空间映射的函数。

Here, we characterize sequential separability and prove that l_p is a separable space if and only if E is a separable space and l_p is a GAK_space.

关于Banach序列空间lp,讨论的主要问题之一就是E的几何性质能否提升到lp中去,在文中,刻划了lp的序列可分性,证明了lp是可分的当且仅当E是可分的以及lp是GAK 空间

Then a global separable nonlinear least-squares identification method which estimates the time delays and transfer function parameters separably is derived to reduce the possibility of convergence to a local minimum by using the global optimization theory.Furthermore,the GSNLS method is modified to a novel global separable nonl...

为降低收敛于局部最小的可能性,利用全局优化理论,推导了全局可分离的非线性最小二乘辨识方法;为消除强观测噪声所引起的参数估计的偏差,将GSNLS方法调整为一新颖的全局可分离的非线性多新息递推最小二乘辨识方法,仿真实验验证了算法的有效性。

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