A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants

Simple item page
dc.contributor.authorTian, D.
dc.contributor.authorDeng, J.
dc.contributor.authorVinod, G.
dc.contributor.authorSanthosh, T. V.
dc.date.accessioned2019-05-30T06:29:15Z
dc.date.available2019-05-30T06:29:15Z
dc.date.issued2018
dc.description.divisionRSDen
dc.format.extent4668 bytes
dc.format.mimetypetext/html
dc.identifier.sourceNeurocomputing, 2018. Vol. 322: pp. 102-119en
dc.identifier.urihttp://hdl.handle.net/123456789/18561
dc.language.isoenen
dc.subjectMultilayer perceptronen
dc.subjectGenetic algorithmsen
dc.subjectConstraint satisfaction problemsen
dc.subjectRandom searchen
dc.subjectExhaustive searchen
dc.subjectLoss of coolant accidents of NPPen
dc.titleA constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plantsen
dc.typeArticleen

Click here to download

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0946.htm
Size:
4.56 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