Evidence map›Paper›PMID 39237633›Full record

ArticleScientific reports2024

The forecasting of surface displacement for tunnel slopes utilizing the WD-IPSO-GRU model.

Guoqing Ma, Xiaopeng Zang, Shitong Chen, Momo Zhi, Xiaoming Huang

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guoqing MaCollege of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Xiaopeng ZangCollege of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Shitong ChenHebei Engineering Innovation Center for Traffic Emergency and Guarantee, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Momo ZhiHebei Engineering Innovation Center for Traffic Emergency and Guarantee, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China. zhimomoqnyh@163.com.
Xiaoming HuangSchool of Transportation, Southeast University, Nanjing, 211189, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To quickly assess slope stability based on field displacement monitoring data, this paper constructs a hybrid optimization model that predicts surface displacement during tunnel excavation in base-overburden slopes. The model combines Wavelet Decomposition (WD) with a Gated Recurrent Unit (GRU), and the GRU's hyperparameters are optimized using an Improved Particle Swarm Optimization algorithm (IPSO). The specific steps are as follows: First, the Wavelet Decomposition (WD) technique is applied to decompose the raw displacement data, extracting features at different time-frequency scales. Next, the Dropout technique is incorporated into the GRU model to prevent overfitting. Additionally, nonlinear inertia weight ω improved cognitive factor c

Indexed as

Analytical prediction of slope displacementDropout techniqueGAGRUIPSOWD

Identifiers

PMID39237633
PMCPMC11377759

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.