中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Intelligent Prediction Model (IPM) of Foundation Pit Displacement Based on Extreme Learning Machine (ELM) and Its Application

文献类型:期刊论文

作者Liu, Shangge; Sun, Changzhong; Zhou, Hui; Wang, Yuanhai
刊名PROCESSES
出版日期2022-05-01
卷号10期号:5
关键词foundation pit deformation extreme learning machine attribute reduction average influence value algorithm
英文摘要In order to effectively predict the dynamic displacement and disaster, according to the analysis of the influencing parameters affecting the deformation of a subway foundation pit supported by piles (walls), the rough set attribute reduction method (RSARM) and the average influence value algorithm (AIVA) are used to simplify the influencing factors of foundation pit deformation. Those simplified factors are taken as the input of the ELM, with the output being the displacement of the foundation pit. Finally, the IPM of foundation pit displacement derived from the ELM is obtained, which is finally used for engineering practice. The results show that it is feasible to simplify the influencing factors of the deformation of the foundation pit by RSARM and AIVA. The proposed IPM of foundation pit displacement has high accuracy and good generalization ability, which can be used for the deformation prediction.
学科主题Engineering
语种英语
WOS记录号WOS:000801243800001
出版者MDPI
源URL[http://119.78.100.198/handle/2S6PX9GI/34714]  
专题中科院武汉岩土力学所
作者单位Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics, CAS
推荐引用方式
GB/T 7714
Liu, Shangge,Sun, Changzhong,Zhou, Hui,et al. Intelligent Prediction Model (IPM) of Foundation Pit Displacement Based on Extreme Learning Machine (ELM) and Its Application[J]. PROCESSES,2022,10(5).
APA Liu, Shangge,Sun, Changzhong,Zhou, Hui,&Wang, Yuanhai.(2022).Intelligent Prediction Model (IPM) of Foundation Pit Displacement Based on Extreme Learning Machine (ELM) and Its Application.PROCESSES,10(5).
MLA Liu, Shangge,et al."Intelligent Prediction Model (IPM) of Foundation Pit Displacement Based on Extreme Learning Machine (ELM) and Its Application".PROCESSES 10.5(2022).

入库方式: OAI收割

来源:武汉岩土力学研究所

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