Displacement interval prediction model and simulation of accumulation landslide based on ceemdan theory

被引：0
|
作者：
Wu J. [1 ]
Xu B. [1 ]
机构：
[1] College of Civil Engineering & Architecture, China Three Gorges University, Yichang
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 02期
关键词：
accumulation landslide displacement; adaptive empirical mode decomposition; particle swarm optimization; sample entropy; support vector machine;
D O I：
10.13229/j.cnki.jdxbgxb20220076
中图分类号：
学科分类号：
摘要：
In order to better control the landslide hazard risk and reduce the disaster loss to the greatest extent，a prediction model and simulation of landslide displacement interval of accumulation layer based on CEEMDAN theory were proposed. The landslide information is collected by multi type sensors，the sample entropy is calculated by the adaptive complete set empirical mode decomposition algorithm，the noise range is obtained according to the correlation coefficient，and the signal noise is removed by the set reasonable threshold；Construct a distributed architecture of multi-sensor data fusion to improve the comprehensiveness of landslide data；The final prediction results are output through the construction of prediction model and sample training. The simulation results show that the proposed model has high prediction interval coverage and low interval width，ensure the prediction accuracy. © 2023 Editorial Board of Jilin University. All rights reserved.
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页码：562 / 568
页数：6
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