摘 要：为了解决多输出回归问题，提出了一种新的多输出支持向量回归算法。
Absrtact: A new approach is proposed for multi- output SVR, in which a hyper-spherical insensitive function is defined around the estimate instead of the hyper - cubical insensitive function.
估算结果证明了这种改进的支持向量回归算法在集装箱吞吐量预测中的有效性和实用性。
The results of experiments reveal the practicability and effectiveness of this algorithm in prediction of container throughput.
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。
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.
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。
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.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
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。
The method of the conical thread image detection based on the support vector regression is presented.
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.
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
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