A study on the robustness of neural network models for predicting the break size in LOCA

Simple item page
dc.contributor.authorTian, X.
dc.contributor.authorBecerra, V.
dc.contributor.authorBausch, N.
dc.contributor.authorSanthosh, T. V.
dc.contributor.authorVinod, G.
dc.date.accessioned2019-02-15T06:29:27Z
dc.date.available2019-02-15T06:29:27Z
dc.date.issued2018
dc.description.divisionRD&DGen
dc.format.extent5453 bytes
dc.format.mimetypetext/html
dc.identifier.sourceProgress in Nuclear Energy, 2018. Vol. 109: pp. 12-28en
dc.identifier.urihttp://hdl.handle.net/123456789/17773
dc.language.isoenen
dc.subjectDiagnostic modelsen
dc.subjectLoss of coolant accidenten
dc.subjectNuclear power planten
dc.subjectModel robustnessen
dc.titleA study on the robustness of neural network models for predicting the break size in LOCAen
dc.typeArticleen

Click here to download

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0523.htm
Size:
5.33 KB
Format:
Hypertext Markup Language
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.81 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

2018