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Data on evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements
The dataset presented in this article pertains to records of shield tunneling-induced ground settlements in Guangzhou Metro Line No. 9. Field monitoring results obtained from both the two tunnel lines are put on display. In total, 17 principal variables affecting ground settlements are tabulated, wh...
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| Pubblicato in: | Data Brief |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7649604/ https://ncbi.nlm.nih.gov/pubmed/33204775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2020.106432 |
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