A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization

Because the deformation of the slope is affected by the stability of the underground structure, natural factors, and human factors, it is difficult for the traditional prediction model of the slope to accurately predict sudden changes. This paper proposes a method to predict the deformation of high...

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Main Authors: Yanhua Fu, Lushan Wan, Xiaorui Fu, Dong Xiao, Yachun Mao, Xiaoyu Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9207755/
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spelling doaj-a77b3824f7a44cbfb42777671e55f2112021-03-30T04:00:45ZengIEEEIEEE Access2169-35362020-01-01817611217612110.1109/ACCESS.2020.30272069207755A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution OptimizationYanhua Fu0Lushan Wan1https://orcid.org/0000-0003-2589-8593Xiaorui Fu2Dong Xiao3https://orcid.org/0000-0002-0401-6654Yachun Mao4Xiaoyu Sun5Jangho Architecture College, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang, ChinaBecause the deformation of the slope is affected by the stability of the underground structure, natural factors, and human factors, it is difficult for the traditional prediction model of the slope to accurately predict sudden changes. This paper proposes a method to predict the deformation of high and steep slopes based on the fuzzy time series and Entire Distribution Optimization. The division of the domain is optimized by the Entire Distribution Optimization, and the deformation of high and steep slopes is predicted by the fuzzy time series. The experimental results show that the fuzzy time series has a good predictive effect on the number of mutations, and the Entire Distribution Optimization avoids the one-sidedness of dividing the domain by mean, which improves the accuracy of the deformation forecasting model of the high and steep slope.https://ieeexplore.ieee.org/document/9207755/Deformation of the slopeentire distribution optimizationfuzzy time seriesmine
collection DOAJ
language English
format Article
sources DOAJ
author Yanhua Fu
Lushan Wan
Xiaorui Fu
Dong Xiao
Yachun Mao
Xiaoyu Sun
spellingShingle Yanhua Fu
Lushan Wan
Xiaorui Fu
Dong Xiao
Yachun Mao
Xiaoyu Sun
A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
IEEE Access
Deformation of the slope
entire distribution optimization
fuzzy time series
mine
author_facet Yanhua Fu
Lushan Wan
Xiaorui Fu
Dong Xiao
Yachun Mao
Xiaoyu Sun
author_sort Yanhua Fu
title A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
title_short A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
title_full A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
title_fullStr A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
title_full_unstemmed A Deformation Forecasting Model of High and Steep Slope Based on Fuzzy Time Series and Entire Distribution Optimization
title_sort deformation forecasting model of high and steep slope based on fuzzy time series and entire distribution optimization
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Because the deformation of the slope is affected by the stability of the underground structure, natural factors, and human factors, it is difficult for the traditional prediction model of the slope to accurately predict sudden changes. This paper proposes a method to predict the deformation of high and steep slopes based on the fuzzy time series and Entire Distribution Optimization. The division of the domain is optimized by the Entire Distribution Optimization, and the deformation of high and steep slopes is predicted by the fuzzy time series. The experimental results show that the fuzzy time series has a good predictive effect on the number of mutations, and the Entire Distribution Optimization avoids the one-sidedness of dividing the domain by mean, which improves the accuracy of the deformation forecasting model of the high and steep slope.
topic Deformation of the slope
entire distribution optimization
fuzzy time series
mine
url https://ieeexplore.ieee.org/document/9207755/
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