Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022)

Grenyer, Alex; Schwabe, Oliver; ahmet Erkoyuncu, John; Zhao, Yifan

Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022)

dc.contributor.author	Grenyer, Alex
dc.contributor.author	Schwabe, Oliver
dc.contributor.author	ahmet Erkoyuncu, John
dc.contributor.author	Zhao, Yifan
dc.date.accessioned	2024-06-07T03:33:02Z
dc.date.available	2024-06-07T03:33:02Z
dc.date.issued	2022-01-24 12:52
dc.description.abstract	Excel file: Symmetry trends used to establish correlation factorExcel file: Forecast method comparisonPowerPoint file: Figures in manuscriptPowerPoint file: Figures from additional simulationsMATLAB files to run the app and readme txt with instructions
dc.description.sponsorship	Advanced Uncertainty Quantification Techniques for Maintenance Planning
dc.identifier.citation	Grenyer, Alex; Schwabe, Oliver; Erkoyuncu, John ahmet; Zhao, Yifan (2022). Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022). Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.14381987
dc.identifier.doi	10.17862/cranfield.rd.14381987
dc.identifier.uri	https://dspace.lib.cranfield.ac.uk/handle/1826/22110
dc.publisher	Cranfield University
dc.relation.isreferencedby	https://doi.org/10.1016/j.cirpj.2022.01.002'
dc.rights	CC BY 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	'long-short term memory network (LSTM)'
dc.subject	'Multistep'
dc.subject	'Prediction Analysis'
dc.subject	'Spatial geometry'
dc.subject	'Uncertainty Analysis'
dc.subject	'Manufacturing Engineering not elsewhere classified'
dc.subject	'Statistics'
dc.subject	'Applied Statistics'
dc.subject	'Statistics not elsewhere classified'
dc.title	Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022)
dc.type	Dataset