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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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/ |
work_keys_str_mv |
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