支持向量数据描述,support vector data description
1)support vector data description支持向量数据描述
1.A support vector data description algorithm based on an adaptive kernel function;基于自适应核函数的支持向量数据描述算法
2.Efficient outlier detection algorithm based on support vector data description基于支持向量数据描述的高效异常数据检测算法
3.Support vector data description(SVDD) is a one class classification method.支持向量数据描述(support vector data description,SVDD)是一种单值分类方法,该方法能够在只有一类学习样本的情况下建立分类器,其在机械故障诊断中的应用有望解决制约智能故障诊断技术发展的故障数据缺乏问题。
英文短句/例句

1.Uncertainty Support Vector Domain Description for Biological Experiment Data with Noise带噪生物实验数据的不确定支持向量数据描述
2.Improved gene expression data clustering using a support vector domain description algorithm支持向量数据描述的基因表达数据聚类方法
3.Intelligent Fault Diagnosis Based on Wavelet and Support Vector Data Description基于小波和支持向量数据描述的故障智能诊断
4.Analysis of Support Vector Data Description Performance Based on RBF基于RBF的支持向量数据描述算法性能分析
5.Research on Classification Method Based on Support Vector Data Description基于支持向量数据描述的分类方法研究
6.Efficient outlier detection algorithm based on support vector data description基于支持向量数据描述的高效异常数据检测算法
7.This paper proposes a new anomaly intrusion detection method based on support vector data description( SVDD).提出了一种基于支持向量数据描述算法的异常检测方法。
8.Research on Equipment Performance Degradation Based on SVDD and Information Fusion基于支持向量数据描述与信息融合的设备性能退化评估研究
9.FAULT DIAGNOSIS COMBINED SUPPORT VECTOR DATA DESCRIPTION AND EMPIRICAL MODE DECOMPOSITION支持向量数据描述和经验模态分解相结合的故障诊断
10.Study on Fault Diagnosis Methods of Rotating Machines Based on Vector Spectrum and Support Vector Data Description基于矢谱和支持向量数据描述的旋转机械故障诊断方法研究
11.Wavelet package-support vector data description applied in bearing performance degradation assessment小波包-支持向量数据描述在轴承性能退化评估中的应用研究
12.Assessment of Bearing Performance Degradation by Cyclostationarity Analysis and Support Vector Data Description结合循环平稳和支持向量数据描述的轴承性能退化评估研究
13.Non-Gaussian process monitoring and fault reconstruction and diagnosis based on SVDD基于支持向量数据描述的非高斯过程故障重构与诊断
14.Weighted support vector regression algorithm based on data description一种数据域描述的加权支持向量回归算法
15.An Improved Support Vector Data Description Method and Its Application一种改进支持向量域数据描述方法及其应用
16.A Modified Particle Swarm Optimization Algorithm Based on Support Vector Domain Description一种基于支持向量数据域描述的改进微粒群算法
17.New Support Vector Data Description Fuzzy Recognition Method一种新的支持矢量数据描述模糊识别方法
18.Radar Target Fuzzy Recognition Method based on KPCA and SVDD基于核主分量分析和支持矢量数据描述的雷达目标模糊识别方法
相关短句/例句

support vector data description(SVDD)支持向量数据描述
1.In this paper,a support vector novelty detection algorithm,the support vector data description(SVDD), was adopted to represent known fault class samples,and to detect new fault class samples.采用一种支持向量异常检测算法,即支持向量数据描述(SVDD),建立已知故障类训练样本的描述模型,并用于检测新的训练中未见的故障类样本。
2.One-class support vector machine(OCSVM)and support vector data description(SVDD)are two main domain-based one-class(kernel)classifiers.单类支持向量机和支持向量数据描述是两种流行的基于支撑域的单分类器。
3.A method of malfunction diagnosis based on Empirical Mode Decomposition(EMD) and Support Vector Data Description(SVDD) is proposed to solve the problem of lacking malfunction smaples in Chongqing light-rail’s cast steel pedestal system diagnosis.针对重庆轻轨铸钢支座系统故障诊断中缺乏故障样本的问题,提出一种基于经验模态分解(EMD)和支持向量数据描述(SVDD)的故障诊断方法。
3)SVDD支持向量数据描述
1.In view of the lack of fault samples,the technique of one-class classification-support vector data description(SVDD) is adopted for abnormal sound detection,in which the normal and abnormal conditions can be distinguished by one-class classifier,set up only on the base of samples in normal conditions.针对驱动桥异响检测缺乏故障样本的问题,提出了异响检测的单值分类法———支持向量数据描述法(SVDD)。
2.A c-SVDD algorithm is proposed based on Support Vector Date Description algorithm.在基于解决单类问题的支持向量数据描述算法基础上提出了基于聚类分布信息的c-SVDD算法。
3.By employing training examples of target set only, data description is able to obtain description of target set, and SVDD(support vector data description) is an efficient data description scheme.数据描述只使用目标集训练样本获得关于目标集的描述,支持向量数据描述(SVDD)是一种有效的数据描述方法。
4)support vector data description支持向量数据描述法
1.The application of support vector data description for the fault prewarning of Power transformer;支持向量数据描述法在变压器故障预警中的应用
2.Due to the ART2 network getting dynamic modifying feature curve and accuration of support vector data description,the cleaning model has the function of dynamic cleaning for bad electric data.电力负荷预测前应首先对负荷数据进行清洗,根据电力日负荷曲线的特征,应用改进的ART-2神经网络准确的提取电力日负荷特征曲线,然后利用支持向量数据描述法对不良数据进行精确定位,最后利用特征曲线对不良数据进行修正。
5)support vector data description支持向量域数据描述
6)weighted support vector data description加权支持向量数据描述
1.This paper presented a method that used band selection to reduce operation and weighted support vector data description(WSVDD) method to suppress the interferer effectively.支持向量数据描述(SVDD)方法用于高光谱图像小目标检测时,存在漏检率高和计算量大的问题,本文提出用波段选择方法降低计算量,用样本错误加权支持向量数据描述(WSVDD)方法抑制小目标形状对背景选择的干扰。
延伸阅读

支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法,通过寻求结构化风险最小来提高学习机泛化能力,实现经验风险和置信范围的最小化,从而达到在统计样本量较少的情况下,亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解,是神经网络领域域取得的一项重大突破。与神经网络相比,它的优点是训练算法中不存在局部极小值问题,可以自动设计模型复杂度(例如隐层节点数),不存在维数灾难问题,泛化能力强。