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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Veröffentlicht in:IEEE access 2020, Vol.8, p.176112-176121
Hauptverfasser: Fu, Yanhua, Wan, Lushan, Fu, Xiaorui, Xiao, Dong, Mao, Yachun, Sun, Xiaoyu
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Sprache:eng
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Zusammenfassung: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3027206