Support Vector Machine for regression (SVR) has shown very good learning performance.
回归型支持向量机方法SVR具有很好的学习性能。
Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).
针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
A speaker verification system based on support vector regression machine (SVR) is presented in this paper.
提出一种基于支持向量回归机的说话者确认方法。
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。
When applied to regression and prediction, we often call SVM as support vector regression machine SVR.
当sVM用于回归分析和预测时，通常称其为支持向量回归机svr。
This paper applies a new data mining method based on SVR (support vector regression) in the prediction of the spare parts requirement.
本文将基于支持向量回归的数据挖掘方法，用于服务备件需求预测研究中。
A novel adaptive support vector regression neural network (SVR-NN) is proposed, which combines respectively merits of support vector machines and a neural network.
一种新的自适应支持向量回归神经网络(SVR - NN)提出，它结合了分别支持向量机和神经网络的优点。
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。
Tracking random targets with Support Vector Regression (SVR) is studied and compared with the Least Square (LS) estimate in this paper.
本文研究了支持向量回归(SVR)在机动目标跟踪中的应用，并与传统回归方法最小二乘法(LS)进行了比较。
Then, by the function expansion, the nonlinear transfer function of this model was converted to intermediate model which is linear one and can be identified using support vector regression (SVR).
再利用函数展开将模型的非线性传递函数转换为等价的线性中间模型，并通过SVR求取中间模型参数。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
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。
Parameter tuning of Support Vector Regression (SVR) has been a critical task to develop a SVR model with good generalization performance.
在回归支持向量机的建模中，参数调节问题一直是影响模型性能的重要因素之一。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
On the complicated or implicit limit state functions in the reliability problems, a response surface method for reliability computation based on Support Vector Regression (SVR) is presented.
针对可靠度计算问题中极限状态函数比较复杂或为隐式的情况，提出了一种基于支持向量回归的响应面可靠度计算方法。
This article introduces the support vector regression (SVR) principle into the petroleum futures forward price and has carried on the empirical analysis by the US crude price.
本文将SVR原理引入到石油期货价格的时间序列中，并以美原油价格进行了实证分析。
A SAR image is regarded as a 2-d continuous function and is approximated by support vector regression (SVR).
将SAR图像看作连续二维函数，利用SVR方法对其进行逼近。
A SAR image is regarded as a 2-d continuous function and is approximated by support vector regression (SVR).
将SAR图像看作连续二维函数，利用SVR方法对其进行逼近。
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