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

机译:应用研究变形监测中的加权GM(1,1)模型

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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理,新信息对旧信息认知很多。由于传统的GM(1,1)模型不反映新信息的重要性。为了充分利用新的信息,加权GM(1,1)模型应用于预测滑坡变形工作,而且还对选择的初步讨论,从预测结果和比较分析的测量结果中进行初步讨论,由GM(1,1)模型产生的加权累积,用于模拟和预测精度比传统的通用汽车(1,1)模型模拟​​和预测高精度,从而显示其效率和实用性。

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