The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.
利用支持向量回归的方法对非线性过程进行建模，采用预测函数控制方法进行控制。
A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
提出了一种基于分类技术的支持向量回归方法，解决数据分布未知、数学模型未知的非线性回归问题。
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。
Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
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。
A method of outlier detection in regression is proposed making use of the character of structure risk function and KKT condition in support vector regression.
利用支持向量回归算法中结构风险函数较好的平滑性以及KKT条件，提出一种回归中的异常值检测方法。
Support Vector regression is an important kind of method for regression problems. The predicting speed of Support Vector regression is proportional to its sparseness.
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 method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regression in this paper.
该文利用支持向量回归算法中结构风险函数的性质以及KT条件，提出一种回归中的异常值检测方法。
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。
The support vector machine (SVM) is a very effective method for regression issue.
支持向量回归机是求解回归问题的新的十分有效的方法。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
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。
Support Vector Machine is an excellent learning technique, and it is also a class of regression method with a good generalization ability.
支持向量机是一种优秀的学习方法，也是具有很好泛化性能的回归方法。
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。
Support vector machine (SVM) is an effective method for resolving regression problem, however, traditional SVM is very sensitive to noises and outliers in the training sample.
支持向量机(SVM)是解决回归问题的一种有效的方法，但传统的支持向量机对样本中的噪声和孤立点非常敏感。
Taking the conical thread as the object of study, a sub-pixel image detection method for the mechanical part linear edge based on the support vector regression was proposed.
以锥形螺纹为研究对象，提出了一个基于支持向量回归的机械零件直线边缘亚像素图像检测方法。
The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
In this paper, a special support vector regression machine algorithm is proposed, within which smoothing function and method to solve LC1 type functions are combined to solve Newton-type algorithm.
分别采用光滑化函数法和求解lc1函数类型方法对牛顿型算法进行研究求解。
In this paper, a special support vector regression machine algorithm is proposed, within which smoothing function and method to solve LC1 type functions are combined to solve Newton-type algorithm.
分别采用光滑化函数法和求解lc1函数类型方法对牛顿型算法进行研究求解。
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