支持向量回归机,support vector regression
1)support vector regression支持向量回归机
1.Prediction of oilfield systems based on support vector regression;基于支持向量回归机的油田系统预测方法
2.The Theory Research of Algorithm on Support Vector Regression and Application;支持向量回归机算法理论研究与应用
英文短句/例句

1.The Theory Research of Algorithm on Support Vector Regression and Application;支持向量回归机算法理论研究与应用
2.Image Watermarking Algorithm Based on Support Vector Regression;基于支持向量回归机的图像水印研究
3.Blind Equalization Algorithm Based on v-Support Vector Regressor基于v-支持向量回归机的盲均衡算法
4.Model of highway freight traffic forecasts based on support vector regression;基于支持向量回归机的公路货运量预测模型
5.Real-time forecasting model of reference crop evapotranspiration based on support vector regression machines参考作物腾发量支持向量回归机实时预报模型
6.Fuzzy-robust Design of Linkage Mechanism Using Support Vector Regression基于支持向量回归机的连杆机构模糊稳健设计
7.The Application of Net Value of Security Investment Fund Based on Support Vector Regression;支持向量回归机在基金净值预测中的应用
8.Non-rigid Object Tracking by Support Vector Regression Particle Filtering;支持向量回归机粒子滤波器非刚体目标跟踪
9.Applification of Support Vector Regression for Forecasting Agricultral Supply Chain;支持向量回归机在农业供应链预测中的应用
10.Study on Logistics Demand Forecast Model Based on Support Vector Regression;基于支持向量回归机的物流需求预测模型研究
11.Forecasting Study of Temporal Data Based on Support Vector Regress Machine;基于支持向量回归机的时态数据预测研究
12.The Fuzzy Support Vector Regression Ensemble Algorithm Based on the Improved Adaboost.RT基于改进的Adaboost.RT模糊支持向量回归机集成算法
13.A Wavelet Analysis and Support Vector Regression Based Relevance Feedback Algorithm in Image Retrieve基于支持向量回归机的相关反馈图像检索算法
14.Theoretical study on second order sufficient conditions for support vector regression支持向量回归机二阶充分条件理论研究
15.Extraction of Fetal Electrocardiogram Using Support Vector Regression Machine基于回归支持向量机的胎儿心电提取
16.Application of Chaos-support Vector Machine Regression in Traffic Prediction混沌-支持向量机回归在流量预测中的应用研究
17.Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine;基于支持向量分类机和回归机的综合评价方法
18.Surface reconstruction method based on support vector regression machine基于支持向量机回归机的曲面拟合技术
相关短句/例句

support vector regression machine支持向量回归机
1.Harmonics analysis based on support vector regression machine;基于支持向量回归机的谐波分析
2.Gyro drift prediction model based on support vector regression machine;基于支持向量回归机的陀螺漂移预测模型
3.Research on structural health monitoring for wing box based on support vector regression machine基于支持向量回归机的机翼盒段结构健康监测研究
3)support vector regression(SVR)支持向量回归机
1.To improve the forecast ability of regional logistics demand,from the aspect of the intrinsic relations,between the factors of the impact(regional economic and so on)and regional logistics demand,support vector regression(SVR) based on structural risk minimization is applied,by establishing the factors of impact-regional logistics demand SVR forecast model to forecasting regional logistics demand.为了提高区域物流需求预测的能力,从区域经济等影响因素指标与区域物流需求之间的内在关系的角度,应用基于结构风险最小化准则的支持向量回归机(SVR)方法,建立"影响因素—区域物流需求"SVR预测模型来研究预测区域物流需求问题。
2.An error correction method for three axial fluxgate sensor based on support vector regression(SVR)is proposed.提出了一种基于支持向量回归机(SVR)的三轴磁通门传感器误差修正方法。
3.A novel nonlinear dynamic compensation method based on Wiener model using support vector regression(SVR)was presented in this paper.提出一种新的利用支持向量回归机(SVR)的非线性动态系统维纳(Wiener)模型补偿方法。
4)Support Vector Regression (SVR)支持向量回归机
1.A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
2.Based on theory of Statistic Learning and Computational Finance,this paper deals with the application of support vector regression (SVR)in stock returns prediction to solve the over-fitting problem and gain a globally optimal solution.作者基于统计学习的基本理论与计算金融的研究方法,将支持向量回归机这一新型神经网络应用于收益序列预测的回归分析,力求在克服数据过拟合现象的基础上寻找问题的全局最优解。
5)support vector regression machines支持向量回归机
1.Empirical mode decomposition based on support vector regression machines;一种基于支持向量回归机的经验模态分解方法
2.End effects processing in HHT based on support vector regression machines;基于支持向量回归机的HHT边界效应处理
6)support vector machine regression支持向量机回归
1.Nonlinear combined prediction of port throughput based on support vector machine regression;基于支持向量机回归的港口吞吐量非线性组合预测
2.To improve the predication precision in quantitative structure-activity relationship(QSAR) research,a novel nonlinear combinatorial forecast method based on support vector machine regression and k-near neighbor group was proposed.为提高定量构效关系(QSAR)研究的预测精度,发展了一种新的基于支持向量机回归(SVR)非线性筛选分子结构描述符、基于k-近邻群的非线性组合预测方法。
3.Based on the support vector machine regression approximating the limit state function,a procedure is presented to analyze the reliability and corresponding sensitivity of the structural system.提出了一种基于支持向量机回归近似极限状态方程的系统可靠性分析方法,所提方法首先由支持向量机拟合系统各失效模式的极限状态方程,将复杂或隐式极限状态方程近似等价为显式极限状态方程,然后根据系统各个失效模式的逻辑结构,由高精度的显式极限状态方程方法计算系统的失效概率和参数灵敏度。
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。