Subway track foundation settlement deformation prediction based on the BiLSTM-AdaBoost model

The rapid economic expansion has spurred extensive construction near subway networks, impacting the stability of their track foundations. Consequently, it’s crucial to monitor and predict settlement in subway track foundations. However, the dynamic deformation patterns often exhibit nonlinearity and...

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Veröffentlicht in:	Engineering Research Express Jg. 6; H. 2; S. 25116 - 25126
Hauptverfasser:	Dang, Xifeng, Yin, Xiao, Liu, Jianwei, Wu, Jincheng, Wang, Xin, Liu, Yongqiang, Sun, Shoubin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IOP Publishing 01.06.2024
Schlagworte:	AdaBoost ensemble learning algorithm bidirectional long short-term memory (BiLSTM) settlement deformation subway track foundation
ISSN:	2631-8695, 2631-8695
Online-Zugang:	Volltext
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