Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas Marcher

Shan, F; He, X; Armaghani, DJ; Zhang, P; Sheng, D

Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas Marcher

Shan, F

He, X

Armaghani, DJ Zhang, P Sheng, D

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Tunnelling and Underground Space Technology, 2023, 139, pp. 105064
Issue Date:: 2023-09-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Shan, F https://orcid.org/0000-0001-7497-6768
dc.contributor.author	He, X https://orcid.org/0000-0001-5336-3663
dc.contributor.author	Armaghani, DJ
dc.contributor.author	Zhang, P
dc.contributor.author	Sheng, D https://orcid.org/0000-0002-1665-6931
dc.date.accessioned	2023-12-04T09:13:52Z
dc.date.available	2023-12-04T09:13:52Z
dc.date.issued	2023-09-01
dc.identifier.citation	Tunnelling and Underground Space Technology, 2023, 139, pp. 105064
dc.identifier.issn	0886-7798
dc.identifier.uri	http://hdl.handle.net/10453/173663
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Tunnelling and Underground Space Technology
dc.relation.isbasedon	10.1016/j.tust.2023.105064
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0914 Resources Engineering and Extractive Metallurgy
dc.subject.classification	Geological & Geomatics Engineering
dc.subject.classification	4005 Civil engineering
dc.subject.classification	4019 Resources engineering and extractive metallurgy
dc.title	Response to Discussion on “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Georg H. Erharter, Thomas Marcher
dc.type	Journal Article
utslib.citation.volume	139
utslib.for	0905 Civil Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
dc.date.updated	2023-12-04T09:13:50Z
pubs.publication-status	Published
pubs.volume	139

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http://hdl.handle.net/10453/173663