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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Detalles Bibliográficos
Autores principales: Zhang, Kun, Lyu, Hai-Min, Shen, Shui-Long, Zhou, Annan, Yin, Zhen-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649604/
https://www.ncbi.nlm.nih.gov/pubmed/33204775
http://dx.doi.org/10.1016/j.dib.2020.106432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649604/
https://www.ncbi.nlm.nih.gov/pubmed/33204775
http://dx.doi.org/10.1016/j.dib.2020.106432

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