| 基于Matlab的灰色回归组合模型在沉降监测中的应用 |
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| 引用本文： | 曹益铭,季民,张广学,陈强.基于Matlab的灰色回归组合模型在沉降监测中的应用[J].测绘与空间地理信息,2017(2):27-28. |
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| 作者姓名： | 曹益铭 季民 张广学 陈强 |
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| 作者单位： | 1. 山东科技大学测绘科学与工程学院,山东青岛,266590;2. 兖州煤业股份有限公司济宁三号煤矿,山东济宁,272169 |
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| 摘 要： | 基于Matlab的灰色回归组合模型,是对灰色GM(1,1)模型以及线性回归模型的补充和改善,通过对某工程沉降监测数据进行分析和处理,并且与单一模型的预测精度相比较,从预测结果可知该组合模型的预测精度与单一模型相比有较大提高,这对于预测工程时间有一定的指导意义。
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| 关 键 词： | MATLAB GM(1 1) 组合模型 预测精度 |
The Grey Combination of Regression Model Based on Matlab Application in Subsidence Monitoring |
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| CAO Yi-ming,JI Min,ZHANG Guang-xue,CHEN Qiang.The Grey Combination of Regression Model Based on Matlab Application in Subsidence Monitoring[J].Geomatics & Spatial Information Technology,2017(2):27-28. |
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| Authors: | CAO Yi-ming JI Min ZHANG Guang-xue CHEN Qiang |
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| Abstract: | The combination of gray linear regression model based on MATLAB is an improvement on the gray GM(1,1) model and the linear regression model.Based on some engineering settlement monitoring data analysis and processing,and compared with the single model prediction accuracy,we can know the combined model prediction accuracy compared with the single model is improved greatly from the Predicted results;it has some significance for the actual project data processing method selection. |
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| Keywords: | MATLAB GM (1 1) combined model reduction accuracy |
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