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

被引:2
|
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
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
收藏
页码:176112 / 176121
页数:10
相关论文
共 50 条
  • [11] Cumulative Probability Distribution Based Computational Method for High Order Fuzzy Time Series Forecasting
    Gangwar, Sukhdev S.
    Kumar, Sanjay
    FUZZY SYSTEMS AND DATA MINING II, 2016, 293 : 3 - 10
  • [12] Adaptive time-variant model optimization for fuzzy-time-series forecasting
    Khiabani, Khalil
    Aghabozorgi, Saeed Reza
    IAENG International Journal of Computer Science, 2015, 42 (02) : 107 - 116
  • [13] Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning
    Wang, Ya'nan
    Lei, Yingjie
    Fan, Xiaoshi
    Wang, Yi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [14] Fuzzy Local Trend Transform based Fuzzy Time Series Forecasting Model
    Dan, Jingpei
    Dong, Fangyan
    Hirota, Kaoru
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2011, 6 (04) : 603 - 614
  • [15] Forecasting fuzzy time series on a heuristic high-order model
    Own, CM
    Yu, PT
    CYBERNETICS AND SYSTEMS, 2005, 36 (07) : 705 - 717
  • [16] A vector forecasting model for fuzzy time series
    Li, Sheng-Tun
    Kuo, Shu-Ching
    Cheng, Yi-Chung
    Chen, Chih-Chuan
    APPLIED SOFT COMPUTING, 2011, 11 (03) : 3125 - 3134
  • [17] A Hybrid Model of Fuzzy time Series for Forecasting
    Wang Jue
    Qiao JianZhong
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 2694 - 2698
  • [18] A deterministic forecasting model for fuzzy time series
    Li, ST
    Cheng, YC
    Proceedings of the IASTED International Conference on Computational Intelligence, 2005, : 25 - 30
  • [19] A Hybrid Fuzzy Time Series Model for Forecasting
    Hassan, Saima
    Jaafar, Jafreezal
    Samir, Brahim B.
    Jilani, Tahseen A.
    ENGINEERING LETTERS, 2012, 20 (01) : 88 - 93
  • [20] A New Forecasting Model of Fuzzy Time Series
    Wang Hongxu
    Guo Jianchun
    Feng Hao
    Jin Hailong
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING III, 2014, 678 : 59 - +