提出一种基于支持向量回归机的说话者确认方法。
A speaker verification system based on support vector regression machine (SVR) is presented in this paper.
支持向量回归机；
论文研究用支持向量回归机处理光顺曲线的重构问题。
How to use SVM to solve the problem of curve smoothing reconstruction in reverse engineering is discussed in this paper.
支持向量回归机是求解回归问题的新的十分有效的方法。
The support vector machine (SVM) is a very effective method for regression issue.
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 modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.
为了解决这个问题，本文提出了一种基于特征加权的支持向量回归机。
In order to solve the problem, support vector machine based on weighted feature is proposed in this paper.
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。
When applied to regression and prediction, we often call SVM as support vector regression machine SVR.
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。
An error correction method for three axial fluxgate sensor based on support vector regression (SVR) is proposed.
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。
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。
The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
文中给出的多输出支持向量回归机不仅推进了多输出支持向量回归机的研究，而且为解决依赖时间的变分不等式问题提供了一种新思路。
The algorithm promoted the study of a multi-output support vector regression machine and provided a novel means to solve the problem of time-dependent variational inequalities.
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；
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.
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 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 novel adaptive support vector regression neural network (SVR-NN) is proposed, which combines respectively merits of support vector machines and a neural network.
应用推荐