| 基于GM（1,1）模型与灰色Verhulst模型的地铁竖井沉降预测 |
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| 引用本文： | 高良博,唐诗华,贾伟,孙昌瑜.基于GM（1,1）模型与灰色Verhulst模型的地铁竖井沉降预测[J].城市勘测,2012(4):132-134. |
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| 作者姓名： | 高良博 唐诗华 贾伟 孙昌瑜 |
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| 作者单位： | 桂林理工大学测绘与地理信息学院;广西空间信息与测绘重点实验室 |
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| 摘 要： | GM（1,1）模型与灰色Verhulst模型是广泛应用于变形分析预测的两种经典预测模型。本文利用这两种模型分别对地铁竖井沉降数据进行分析预测。通过对预测数据的比较分析,得出了灰色Verhulst模型的预测精度更高,更适合于地铁竖井沉降的预测分析。
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| 关 键 词： | GM（1 1）模型 Verhulst模型 沉降预测 |
Setllement Prediction of Subway Shaft Base on GM(1,1) Model and Gray Verhulst Model |
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| Gao Liangbo,Tang Shihua,Jia Wei,Sun Changyu.Setllement Prediction of Subway Shaft Base on GM(1,1) Model and Gray Verhulst Model[J].Urban Geotechnical Investigation & Surveying,2012(4):132-134. |
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| Authors: | Gao Liangbo Tang Shihua Jia Wei Sun Changyu |
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| Affiliation: | 1(1.College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541004,China;2.Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin 541004,China) |
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| Abstract: | GM(1,1) model and gray Verhulst model are two classical models which are widely used in deformation analysis and forecast.This paper analysis and forecast subway shaft sedimentation data by using two kinds of model.Through the comparison of forecast data,we verified the prediction precision of the grey Verhuls is higher,it is more suitable for the analysis and forecast of the subway shaft sedimentation. |
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| Keywords: | GM(1 1) model Verhulst model Subsidence prediction |
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