支持向量域,support vector domain
1)support vector domain支持向量域
1.Prediction of chaotic time sequence using least squares support vector domain;最小二乘支持向量域的混沌时间序列预测
2.Support vector domain fault prediction based on support vector pre-extracting基于支持向量预选取的支持向量域故障预报
3.A new predication method of customer credit of banks is proposed based on the support vector domain classification model of non-balance data set.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。
英文短句/例句

1.Support vector domain fault prediction based on support vector pre-extracting基于支持向量预选取的支持向量域故障预报
2.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
3.Research on Support Vector Domain Classification Predication Model of Non-Balance Data Set非平衡数据集的支持向量域分类预测模型研究
4.Forecasting of Regional Logistics Amount Based on Nonlinear Support Vector Machines;基于非线性支持向量机区域物流量预测
5.Support Vector Machines and Its Application in the Thermal Power Engineering Field;支持向量机及其在热能工程领域中的应用
6.A SVR-based Model for Regional Economy Medium-term and Long-term Forecast;区域经济中长期预测的支持向量回归方法
7.Research on Prediction of Protein Domains Based on Support Vector Machines基于支持向量机的蛋白质结构域预测方法研究
8.A Study on Regional Logistics Demand Forecast Based on Support Vector Machine基于支持向量机的区域物流需求预测研究
9.The Study of Multi-field Adaptive Classfication Based on Support Vector Machine基于支持向量机的多领域自适应分类方法研究
10.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
11.Spatial domain image dual watermarking based on SVM and chaotic-sequence-mapping基于支持向量机和混沌序列的空域图像双水印
12.Blind watermarking algorithm in wavelet domain based on SVR基于回归型支持向量机的小波域盲水印算法
13.Age estimation based on local binary pattern and support vector machine基于局域二值模式与支持向量机的年龄估计
14.COMPLEXION DETECTION BASED ON SUPPORT VECTOR MACHINE AND NEIGHBOURHOOD INFORMATION基于支持向量机与邻域信息的肤色检测
15.Support Veltor Machines Based on Hull Vectors and Center Vectors基于壳向量和中心向量的支持向量机
16.Predicting into Regional Logistics Volume Based on Partial Least-squares Support Vector Machines Regression;基于偏最小二乘支持向量机回归区域物流量预测
17.hardware supported vector operation硬件支持的向量运算
18.Rough Set-based One-class Support Vector Machine粗糙one-class支持向量机
相关短句/例句

support vector domain description支持向量域描述
1.Reduced support vector domain description method RSVDD;一种约减支持向量域描述算法RSVDD
2.A separation hyperplane is constructed based on support vector domain description(SVDD),which attempts the combination of SVDD with SVM.针对两类分类问题中使用支持向量机(Support Vector Machines,SVM)训练时间长和支持向量域分类器(Support Vector Domain Classifier,SVDC)精度不高的问题,建立一种基于支持向量域描述(Support Vector Domain Description,SVDD)的分离超平面,尝试将SVDD与SVM结合。
3.The data of every fault class are trained by support vector domain description (SVDD)to obtain the optimal enclosing feature spaces.该模型采用支持向量域描述算法(SVDD)对多类故障进行单独训练,建立独立而封闭的特征空间,满足故障类别的动态增加需要,并采用样本与各特征空间的相对距离进行了多故障的混合识别。
3)support vector data description支持向量域描述
4)vicinal SVM邻域支持向量解
5)support vector machines支持向量
1.Application of support vector machines in examination of worn striation mark;支持向量机方法在线条痕迹检验中的应用
6)Support vector支持向量
1.Modeling method of least squares support vector regression based on vector base learning;基于矢量基学习的最小二乘支持向量机建模
2.Lower dimension Newton-algorithm for training the support vector machines;训练支持向量机的低维Newton算法
3.A fast algorithm for extracting the support vector on the Mahalanobis distance;一种基于马氏距离的支持向量快速提取算法
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。