Combined Prediction Model for Shield Vertical Posture
Based on Deep Learning

LI Zengliang

doi:10.3973/j.issn.2096-4498.2021.05.008

Tunnel Construction >

2021 , Vol. 41 >Issue 5: 758 - 763

DOI: https://doi.org/10.3973/j.issn.2096-4498.2021.05.008

Combined Prediction Model for Shield Vertical Posture Based on Deep Learning

LI Zengliang

Expand

(China Railway 20th Bureau Group Co., Ltd., Xi′an 710016, Shaanxi, China)

Online published: 2021-05-29

Fold

Abstract

To accurately predict the vertical posture of shields, a deeplearning combination prediction model based on long shortterm memory (LSTM) neural network and support vector regression (SVR) is proposed. The LSTM and SVR verticalposture prediction models are developed by performing the corresponding data preprocessing operations on the collected verticalposture data. Further, the prediction results of the two models are weighted by the optimal combination of weights to obtain a LSTMSVR combined prediction model. Finally, to verify the reliability of the developed LSTMSVR combined deeplearning prediction model, the prediction results are compared with those of the LSTM, SVR, and BP models based on the Kunming metro project. The results show that the LSTMSVR combined deeplearning prediction model has high prediction accuracy.

Key words： metro tunnel; combined prediction model; deep learning; shield vertical posture; long shortterm memory (LSTM) neural network; support vector regression (SVR)

Cite this article

LI Zengliang . Combined Prediction Model for Shield Vertical Posture Based on Deep Learning[J]. Tunnel Construction, 2021 , 41(5) : 758 -763 . DOI: 10.3973/j.issn.2096-4498.2021.05.008

Options

Outlines

〈

〉

模态框（Modal）标题

Abstract

Cite this article