Metro Foundation Pit Deformation Prediction Method Based on CNN-GRU Neural Network under Incomplete Data Condition

Metro Foundation Pit Deformation Prediction Method Based on CNN-GRU Neural Network under Incomplete Data Condition

[Objective] To address the issues of prediction delay and accuracy degradation caused by incomplete deformation monitoring data in metro foundation pits, a prediction method based on a CNN-GRU (convolutional neural network-gated recurrent unit) neural network is proposed and verified. [Method] A dat...

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Bibliographic Details
Main Authors: ZHOU Yi, WANG Zhangqiong, ZOU Yuangeng, CAI Yonghui, XU Xiaoya, ZHAO Qilin
Format: Article
Language:zho
Published: Urban Mass Transit Magazine Press 2025-06-01
Series:Chengshi guidao jiaotong yanjiu
Subjects:
metro
foundation pit deformation prediction method
cnn-gru neural network
incomplete data
Online Access:https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.20230612.html
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https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.20230612.html

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