The results show that the maximum regression and prediction relative errors are not greater than 6.5%.

结果表明，支持向量机回归和预测的最大相对误差不超过6 5%。

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When applied to regression and prediction, we often call SVM as support vector regression machine SVR.

当s VM用于回归分析和预测时，通常称其为支持向量回归机svr。

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The comparison of the test data with measurement data shows that the regression and prediction with the SVR method are highly accurate.

然后应用SVR方法对系统效率测试原始数据进行双边延拓，对延拓后的数据信号进行经验模式分解。

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