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Application of BP-ARMA Combined Model based on Entropy Method in the Prediction of Circle Beam Displacement of Foundation Pit

机译:BP-ARMA组合模型在熵方法中的应用在基础坑圆梁位移的预测中

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The prediction of deformation of foundation pit's supporting structure is the basis of construction control of deep foundation pit. Meanwhile, it is vital to the safe excavation of foundation pit. In the work, the 1st project of Huaqiao in Jiantao Square of Kunshan City is chosen. Besides, model of combination based on entropy method is built to predict the displacement of circle beam with BP neural network and ARMA time series model. Finally, the analysis shows that combination models improve overall prediction on the premise of better predicting accuracy. Thus, it is of practical value.
机译:基坑支撑结构变形的预测是深基坑施工控制的基础。 同时,对基础坑的安全挖掘至关重要。 在这项工作中,选择了昆山市济南市华侨的第一个项目。 此外,建立了基于熵方法的组合模型,以预测与BP神经网络和ARMA时间序列模型的圆梁的位移。 最后,分析表明,组合模型在更好地预测精度的前提下改善整体预测。 因此,它具有实用价值。

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