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- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
- 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。
- A new algorithm to solve classification problems is obtained based on the support vector regression (SVR). 摘要本文提出了基于支持向量回归机(SVR)的一种新分类算法。
- Then, the implementation algorithms of MADM using support vector regression and classification are presented. 再次提出了基于支持向量回归和分类的多属性决策支持向量机实现算法；
- The method of the conical thread image detection based on the support vector regression is presented. 以支持向量回归为主要算法,讨论了圆锥螺纹各参数的图像检测方法。
- Adaptive and Iterative Least Squares Support Vector Regression Based on Quadratic Renyi Entropy. Jingqing Jiang(姜静清) ; Chuyi Song ; Haiyan Zhao ; Chunguo Wu and Yanchun Liang.
- These methods are linear prediction using autoregression,and nonlinear prediction using support vector regression. 这两种方法分别为线性的自回归预测以及非线性的支持向量机预测。
- Support Vector Regression (SVR) algorithm has been introduced to construct a content-based recommend approach. 支持向量机是一种强大的分类工具，由其衍生出的支持向量机回归方法能很好地解决非线性回归问题。
- An digital image watermarking algorithm based on support vector regression (SVR) is proposed in this paper. 摘要提出一种支持向量回归机SVR的数字图像水印算法。
- The distribution of support vector is analyzed.An epsilon-adjustable support vector regression is proposed. 摘要 标准支持向量回归问题中，噪声较大的时段将包含较多的支持向量。
- In this paper, the authors present a method combined rough set (RS) with least square support vector regression (LS-SVR). 摘要该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
- SMOLA A J,SCHOLKOPF B.A tutorial on support vector regression[R].NeuroCOLT Tech.Rep.TR 1998-030,Royal Holloway College,London,U.K,1998. 赵登福王蒙.;基于支撑向量机方法的短期负荷预测[J]
- An improved method of support vector machine and its applications to financial time series forecasting Estimate of error bounds in the improved support vector regression. 大型工程对工程机械的正常安全运行提出了更高的要求,因此,现代大型工程机械普遍采用了电子监控与故障自诊断系统。
- Support Vector Regression is an important kind of method for regression problems.The predicting speed of Support Vector Regression is proportional to its sparseness. 摘要 支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
- A prediction modelling method was proposed for non-linear and non-stationary time series,based on empirical mode decomposition(EMD) and support vector regression(SVR). 提出了一种基于经验模式分解和支持向量回归的非线性、非平稳时间序列预测建模方法。
- To achieve a sparse solution for least squares support vector regression (LS-SVM), an algorithm called vector base learning (VBL) is proposed in this paper. 摘要为使最小二乘支持向量机的解具有稀疏性，本文提出了一种稀疏解算法-矢量基学习。
- The calibration models were built by using support vector regression (SVR).This method can be used to determine vitamin B1, B2 and B6 in synthetic samples. 摘要用支持向量回归方法(SVR)建立校正模型，并对维生素B1、B2和B6的模拟样品进行测定。
- A novel adaptive support vector regression neural network (SVR-NN) is proposed, which combines respectively merits of support vector machines and a neural network. 摘要结合支持向量机和神经网络各自的优点，提出了一种新颖的自适应支持向量回归神经网络(SVR-NN)。
- A sensor fault diagnosis system with support vector regression (SVR) for a given turbofan engine was designed.It can detect sensor fault and recover fault-sensor signal. 利用基于回归型支持向量机(SVR)的诊断方法，设计了某型涡扇发动机传感器常见故障诊断系统，实现了传感器故障隔离与信号重构。
