Power system Dynamic security region Hyperplane; 电力系统;动态安全域;超平面;
Combining the new measure with the forward regression orthogonal least square ( OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind. 提出一种基于输入集分类函数的新的距离度量方法,它与前传回归的正交最小二乘法相结合,不仅可以学习分类超平面的参数,而且可以选择重要的输入节点。
A partly analytical composite Monte-Carlo method on structural failure hyperplane was proposed to efficiently and accurately calculate structural reliability. 为了提高采用蒙特卡罗方法计算结构可靠度的效率和精度,提出了一种部分解析的失效面上的复合蒙特卡罗方法。
In order to improve the computational efficiency, a branch algorithm for general integer linear programming problems on the objective function hyperplane shifts was presented. 为了提高求解一般整数线性规划问题的效率,提出了一种基于目标函数超平面移动的分支算法。
Hyperplane Clustering Algorithm of Underdetermined Mixing Sparse Component Analysis 欠定混叠稀疏分量分析的超平面聚类算法
For each potential instability mode, a critical point on the boundary of the security region was found, in which the normal vector was used to form the hyperplane to simulate the boundary of thes. 对每一种潜在的失稳模式,搜索其动态安全域边界上的一个点,根据临界点处的法向来求解用于模拟动态安全域边界的超平面。
The main topic of this thesis is about central hyperplane arrangements with modular elements in their intersection lattice. 本文主要讨论了超平面构形的模元素及其应用。
Since support vector machine is unfair to the rare class for the classification of imbalanced data, proposed an adjustment method of the separating hyperplane. 该方法可补偿非平衡数据分类的倾向性,提高预测分类精度。
In this thesis, matroid theory is used to study the reducibility and other related topics of central hyperplane arrangements. 本文主要利用拟阵论中的结论讨论构形的可约性及相关问题。
Different from decision tree with a single variable, the multi-variable ( tilted) decision tree can find a hyperplane which is not perpendicular to the characteristic shaft. 如何在测试节点里构造一个恰当的分割超平面是构造决策树的关键,与单变量决策树不同,多变量(倾斜)决策树可以找到与特征轴不垂直的超平面。
In this paper, an image annotation method is proposed which augments the classical generative model with the proposed discriminative hyperplane tree. 提出一种基于可判别超平面树的生成模型图像标注方法。
A separation hyperplane is constructed based on support vector domain description ( SVDD), which attempts the combination of SVDD with SVM. 基于非平衡数据集的支持向量域分类模型,提出了一种银行客户个人信用预测方法。
A New Design Method of Sliding Mode Hyperplane of V_ ( ss) Hydraulic servo System 液压伺服系统变结构滑模超平面的一种新的设计方法
Fuzzy Model Identification of Hydro-turbine Governing System with Clustering Based on Hyperplane Prototype 基于超平面原型聚类的水轮机调速系统模糊模型辨识
Revising method for separation hyperplane of imbalanced data in SVM; 针对不平衡数据集,提出一种基于后验概率的特征选择算法。
The fuzzy membership of each sample is defined by affinity among samples, and by the training determine a threshold, noises and outliers are removed, which influence optimal separating hyperplane. 应用基于样本之间的紧密度确定每个样本的模糊隶属度,通过训练确定阀值,去除影响得到最优分类超平面的噪声和野点。
This part constructed fuzzy linear support vector regression when the parameters of optimal hyperplane are fuzzy ( fuzzy vector or fuzzy number). 当最优超平面中的参数为模糊量(模糊向量或模糊数)时,建立了模糊线性支持向量分类机和模糊线性支持向量回归机。
A method based on fuzzy theory is applied to explain the classification of SVM and its optimal hyperplane. An expression of fuzzy membership on doubtful classification area is listed. 应用模糊理论的方法对支持向量机分类及最优分类面进行了解释,对可疑分类区列出了模糊隶属度的表达式。
Samples 'weights are properly solved through introducing the concept of weighted distance between weighted sample and hyperplane. 通过引入样本与超平面加权距离的概念,使得WSVM算法可以对样本的权值信息进行有效处理。
All the discussion is based on two concepts of tangent hyperplane and normal vector. 整个算法建立在支撑超平面和法向量两个概念基础上。
A study is made of the decentralized variable structure control of interconnected systems and two theorems related respectively to the existence of the switching hyperplane of the decentralized variable structure control and to the sliding mode on the switching hyperplane are given. 本文对互联系统的分散变结构控制进行了研究;给出了有关分散变结构控制开关超平面(switchinghyperplane)以及开关超平面上滑模(slidingmodeontheswitchinghyperplane)存在的两定理和结论;
Support vector machine constructs an optimal hyperplane utilizing a small set of vectors near boundary. 支持向量机利用接近边界的少数向量来构造一个最优分类面。
The training data close to the hyperplane are extracted to form the improved learning machines by using linear clustering. 该类学习机利用线性聚类,提取距分类超平面较近的样本构造改进的学习机。
Through update the sliding hyperplane, the dynamic property of the system is increased. 通过对变结构控制中的滑动超平面进行自适应调整,使系统特性得到进一步改善。
When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one. 使用传统的支持向量机对含有噪声的数据分类时,所得到的超平面往往不是最优超平面。
The result is that for the automorphism groups of a matroid, there are only independent axioms, base axioms and rank axioms, but no hyperplane axioms and closure axioms. 对于拟阵的自同构群只有独立集公理系统、基公理系统和秩公理系统,而没有超平面公理系统和闭包公理系统。
Its main tasks are: 1. The study of Nonparallel dual hyperplane SVM classifier model. 主要工作包括:1.对非平衡双超平面支持向量机的分类器模型进行研究。
This paper proposes an adjustment algorithm for the separating hyperplane of two classes of unbalanced data in SVM. 本文针对支持向量机中两类不平衡数据的分离超平面提出一种调整算法。
Hyperplane data decom-position method can to some degree avoid the above-mentioned shortcomings. 超平面划分方法一定程度上克服了这两种方法的缺点。
We proposed an adjustment method of separating hyperplane, based on the numbers of the positive and negative class. 本文则基于正负类的样本数量,结合支持向量,提出了一种调整分类超平面的方法。