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Weighted GM (1,1) model in deformation monitoring of applied research

机译:加权GM(1,1)模型在变形监测中的应用研究

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Based on the priority principle of new information in grey system theory, the new information counts much in information cognition to the old. As the traditional GM (1,1) model does not reflect the importance of the new information. In order to take full advantage of new information, weighted GM (1,1) model is applied to predict landslide deformation works, but also the weighted to make a preliminary discussion on the selection, from the predicted results and measured results of comparative analysis, the weighted cumulative generated by GM (1,1) model for simulation and prediction Accuracy than the traditional GM (1,1) model to simulate and predict with high precision, thereby shows its efficiency and Practicality.
机译:基于灰色系统理论中新信息的优先原则,新信息在信息认知中起着至关重要的作用。由于传统的GM(1,1)模型无法反映新信息的重要性。为了充分利用新信息,将加权GM(1,1)模型应用于滑坡变形工程的预测中,并对加权后的结果进行初步讨论,从预测结果和实测结果中进行对比分析, GM(1,1)模型生成的加权累积用于仿真和预测准确性比传统GM(1,1)模型进行高精度的仿真和预测,从而显示了其效率和实用性。

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