对结果均方差的分析显示，加权支持向量机的预测精度优于人工神经网络和标准支持向量机模型。

The analysis to the mean square deviation showed us the conclusion, that the prediction accuracy of WSVM was better than the ANN and traditional SVM models.

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该文对用于回归估计的标准支持向量机(SVM)加以改进，提出了一种新的用于回归估计的支持向量机学习算法。

Based on the traditional support vector machine (SVM) for regression, a new learning algorithm of the improved SVM for regression is presented in this paper.

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结果表明SORR优于标准的支持向量机回归估计算法。

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

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