Optimized LSTM based on improved whale algorithm for surface subsidence deformation prediction

Optimized LSTM based on improved whale algorithm for surface subsidence deformation prediction

In order to effectively control and predict the settlement deformation of the surrounding ground surface caused by deep foundation excavation, the deep foundation pit project of Baoding City Automobile Technology Industrial Park is explored as an example. The initial population approach of the whale...

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Bibliographic Details
Main Authors: Ju Wang, Leifeng Zhang, Sanqiang Yang, Shaoning Lian, Peng Wang, Lei Yu, Zhenyu Yang
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Electronic Research Archive
Subjects:
deep foundation pit
deep learning
whale optimization algorithm
numerical simulation
short and long term memory
settlement prediction
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023174?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2023174?viewType=HTML

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