The experimental results show that the proposed SORR algorithm is better than the normal regression estimation algorithm of SVM.

结果表明SORR优于标准的支持向量机回归估计算法。

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A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.

针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。

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