dc.contributor.author	Grenyer, Alex
dc.contributor.author	Schwabe, Oliver
dc.contributor.author	ahmet Erkoyuncu, John
dc.contributor.author	Zhao, Yifan
dc.date.accessioned	2024-06-08T12:27:55Z
dc.date.available	2024-06-08T12:27:55Z
dc.date.issued	2021-02-12 11:48
dc.description.abstract	Excel file corresponding to training data and results in conference paper - applied in MATLABImages: Figures 1-4 as in conference paperVideo: 3D plot rotationVideo: Conference presentation
dc.description.sponsorship	Advanced Uncertainty Quantification Techniques for Maintenance Planning
dc.identifier.citation	Grenyer, Alex; Schwabe, Oliver; Erkoyuncu, John ahmet; Zhao, Yifan (2021). Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020). Cranfield Online Research Data (CORD). Conference contribution. https://doi.org/10.17862/cranfield.rd.12906716
dc.identifier.doi	10.17862/cranfield.rd.12906716
dc.identifier.uri	https://dspace.lib.cranfield.ac.uk/handle/1826/22132
dc.publisher	Cranfield University
dc.relation.isreferencedby	https://doi.org/10.1016/j.procir.2021.01.055'
dc.rights	CC BY 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	'Uncertainty'
dc.subject	'forecast'
dc.subject	'LSTM networks'
dc.subject	'Spatial geometry'
dc.subject	'Manufacturing Engineering not elsewhere classified'
dc.subject	'Statistics'
dc.title	Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020)
dc.type	Dataset

Data relating to: "Dynamic multistep uncertainty prediction in spatial geometry" (2020)

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