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| 引用本文： | 高宁,高彩云.???μ???????????????????????о?[J].大地测量与地球动力学,2013,33(3):116-120. |
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| 作者姓名： | 高宁 高彩云 |
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| 作者单位： | 1. 河南城建学院测绘与城市空间信息系,平顶山467036;中国矿业大学(北京)地球科学与测绘工程学院,北京100083
2. 河南城建学院测绘与城市空间信息系,平顶山,467036 |
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| 摘 要： | ??????μ???????????????????????????????????????????????????????????????з????????????????????????????????????????????????????￡?????????????????????????????????????????????????????????????????????Ч?????б????????????????????????????????????????????????????
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| 关 键 词： | ?????? ?????? ???????? ???? ?????? |
ON MODEL AND FORECAST OF DEFORMATION MONITORING DATA BASED ON SERIES AND PARALLEL COMBINATION PREDICTION |
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| Gao Ning,and Gao Caiyun.ON MODEL AND FORECAST OF DEFORMATION MONITORING DATA BASED ON SERIES AND PARALLEL COMBINATION PREDICTION[J].Journal of Geodesy and Geodynamics,2013,33(3):116-120. |
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| Authors: | Gao Ning and Gao Caiyun |
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| Institution: | 1) 1)Geomatics and City Spatial Information School,HUUC,Pingdingshan 4670362)College of Geoscience and surveying Engineering,CUMT,BeiJing 100083 |
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| Abstract: | In order to improve the accuracy and reliability of forecasting deformation rnonitoring data, two kinds of combination prediction model structure, series combination??SC)and parallel combination(PC?? are proposed.In the SC time series model, grey model and neural network to predict are separately used and then
the predicting results are combined. In the PC the weight is used to combine different models, and the performance of the linear and non??linear weight combination forecast are compared. Finally, a practical prediction case in building safety monitoring forecast used to explain the method. According to the experimental results, the proposed SC and PC combined method obviously can improve the prediction accuracy and therefore can be applied to deformation data analysis. |
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| Keywords: | series combination (SC) parallel combination (PC) non-linear weight deformation combination prediction |
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