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Stress monitoring in the ARMA model of Changchun subway construction applications

机译:长春地铁施工应用中ARMA模型的应力监测

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This paper presents the application of the ARMA time-series analysis model for the analysis and forecast of stress data in Changchun subway construction. The results show that the model has an ideal accuracy in the forecast after the smooth process of the data. As the step size increases, the accuracy drops. Thus, the results indicate that the time-series analysis model is effective in the short-term forecast.
机译:本文介绍了ARMA时间序列分析模型在长春地铁施工中分析和预测的应用。结果表明,该模型在数据流程后的预测中具有理想的准确性。随着阶梯尺寸的增加,精度下降。因此,结果表明,时间序列分析模型在短期预测中是有效的。

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