| 改进的GM-AR组合模型在地铁沉降预测中的应用 |
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| 引用本文： | 成枢,郭祥琳,冯东恒.改进的GM-AR组合模型在地铁沉降预测中的应用[J].测绘工程,2018(5):59-63. |
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| 作者姓名： | 成枢 郭祥琳 冯东恒 |
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| 作者单位： | 山东科技大学 测绘科学与工程学院,山东 青岛,266590 |
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| 摘 要： | 灰色预测模型对沉降的整体趋势有很好地预测结果,时序模型针对随机性的数据进行预测,二者结合一定程度上可提高预测的精度。文中通过改进GM-AR模型并将其应用于地铁沉降预测中,同时与灰色预测模型和GM-AR组合模型的预测精度进行对比分析。结果表明,改进后GM-AR模型可以有较好的预测效果。
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| 关 键 词： | 灰色模型 时间序列 GM-AR组合模型 地铁沉降 残差 gray model time series GM-AR combination model subway settlement residual |
Application of improved GM-AR combined model to the prediction of subway settlement |
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| CHENG Shu,GUO Xianglin,FENG Dongheng.Application of improved GM-AR combined model to the prediction of subway settlement[J].Engineering of Surveying and Mapping,2018(5):59-63. |
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| Authors: | CHENG Shu GUO Xianglin FENG Dongheng |
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| Abstract: | The gray prediction model has a good prediction result for the overall trend of settlement,while the time series model makes a prediction in views of the random data,and the combination of the two models can improve the accuracy of the prediction to some extent.In this paper,the GM-AR model is improved and applied to the prediction of subway settlement,and furthermore compared with the gray prediction model and the GM-AR combined model in the prediction accuracy.The result shows that the improved GM-AR model has a higher accuracy in the prediction of subway settlement. |
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