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Using a Hybrid of the U-Net and Multilayer Perceptron Models to Automatically Predict the Geological Strength Index from Tunnel Face Rock Joint Images

Crossref DOI link: https://doi.org/10.1007/s00603-025-04773-5

Published Online: 2025-07-15

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dong, Zheng https://orcid.org/0000-0001-6454-8428
Zhang, Xuhui https://orcid.org/0000-0002-5216-1362
Yang, Wenjuan

Lei, Mengyu

Zhang, Chao

Wan, Jicheng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52204176, 52174150)

Key R & D project in Shaanxi (2023-YBGY-063)

Shaanxi Postdoctoral Science Foundation (2024BSHYDZZ007)
License Information

Text and Data Mining valid from 2025-07-15

Version of Record valid from 2025-07-15
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Article History

Received: 25 October 2024

Accepted: 4 July 2025

First Online: 15 July 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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