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.
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