Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. Taking an excavation project of a foundation pit of Kunming in...

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Bibliographic Details
Main Authors: Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/8896210

Internet

http://dx.doi.org/10.1155/2021/8896210

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