Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model

Aiming at the “stepped” landslide displacement in the Three Gorges area,this paper proposes a new landslide displacement time series prediction model,namely VMD-SES-BP prediction model by combining variational mode decomposition (VMD),second exponential smoothing (SES),and BP neural network (BPNN);c...

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Main Authors: AN Bei, JIANG Yanan, ZENG Qifei
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2021-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.006
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author AN Bei
JIANG Yanan
ZENG Qifei
author_facet AN Bei
JIANG Yanan
ZENG Qifei
author_sort AN Bei
collection DOAJ
description Aiming at the “stepped” landslide displacement in the Three Gorges area,this paper proposes a new landslide displacement time series prediction model,namely VMD-SES-BP prediction model by combining variational mode decomposition (VMD),second exponential smoothing (SES),and BP neural network (BPNN);conducts the VMD of the GPS monitoring displacement data of landslide at Baishuihe River of the Three Gorges through this model to obtain the trend component and other sub-sequence components;makes rolling predictions of trend components by the SES,determines the influencing factors of other displacement components of the landslide through gray relational analysis (GRA),and learns and predicts by considering it as the training sample of BPNN.Comparing the prediction results of each component with the true value,the average relative error of prediction is 0.78%,the mean square error is 3.14 cm,and the correlation coefficient is 0.986.The experimental results show that the model is well applicable to the prediction of “stepped” landslide displacement,with high prediction accuracy,which provides a certain reference value for landslide displacement prediction.
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institution Kabale University
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spelling doaj-art-0d72d04f8ea1498883d200a7476f292f2025-01-15T02:30:09ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352021-01-014247649486Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP ModelAN BeiJIANG YananZENG QifeiAiming at the “stepped” landslide displacement in the Three Gorges area,this paper proposes a new landslide displacement time series prediction model,namely VMD-SES-BP prediction model by combining variational mode decomposition (VMD),second exponential smoothing (SES),and BP neural network (BPNN);conducts the VMD of the GPS monitoring displacement data of landslide at Baishuihe River of the Three Gorges through this model to obtain the trend component and other sub-sequence components;makes rolling predictions of trend components by the SES,determines the influencing factors of other displacement components of the landslide through gray relational analysis (GRA),and learns and predicts by considering it as the training sample of BPNN.Comparing the prediction results of each component with the true value,the average relative error of prediction is 0.78%,the mean square error is 3.14 cm,and the correlation coefficient is 0.986.The experimental results show that the model is well applicable to the prediction of “stepped” landslide displacement,with high prediction accuracy,which provides a certain reference value for landslide displacement prediction.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.006grey relationvariational modeexponential smoothingBP neural networklandslide displacement prediction
spellingShingle AN Bei
JIANG Yanan
ZENG Qifei
Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
Renmin Zhujiang
grey relation
variational mode
exponential smoothing
BP neural network
landslide displacement prediction
title Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
title_full Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
title_fullStr Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
title_full_unstemmed Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
title_short Prediction of Landslide Displacement Based on GreyRelational Analysis and VMD-SES-BP Model
title_sort prediction of landslide displacement based on greyrelational analysis and vmd ses bp model
topic grey relation
variational mode
exponential smoothing
BP neural network
landslide displacement prediction
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.006
work_keys_str_mv AT anbei predictionoflandslidedisplacementbasedongreyrelationalanalysisandvmdsesbpmodel
AT jiangyanan predictionoflandslidedisplacementbasedongreyrelationalanalysisandvmdsesbpmodel
AT zengqifei predictionoflandslidedisplacementbasedongreyrelationalanalysisandvmdsesbpmodel