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

被引：4

作者：

Fu, Yanhua ^{[1
]}

Wan, Lushan ^{[2
]}

Fu, Xiaorui ^{[2
]}

Xiao, Dong ^{[2
]}

Mao, Yachun ^{[3
]}

Sun, Xiaoyu ^{[3
]}

机构：

[1] Northeastern Univ, Jangho Architecture Coll, Shenyang 110169, Peoples R China

[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China

[3] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Time series analysis; Strain; Optimization; Sociology; Predictive models; Azimuth; Deformation of the slope; entire distribution optimization; fuzzy time series; mine; ENROLLMENTS; INTERVALS; LENGTH;

D O I：

10.1109/ACCESS.2020.3027206

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：176112 / 176121

页数：10

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