Title of article :
AmodelbasedonbootstrappedneuralnetworksforcomputingthemaximumfuelcladdingtemperatureinanRmbk-1500nuclearreactoraccidentOriginalResearchArticle
Author/Authors :
F. Cadini، نويسنده , , E.Zio، نويسنده , , V. Kopustinskas، نويسنده , , R.Urbonas، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
8
From page :
2165
To page :
2172
Abstract :
ThepresentpaperillustratestheuseofartificialneuralnetworksforcomputingthemaximumfuelcladdingtemperaturereachedduringacompletegroupdistributionblockagescenarioinanRBMK-1500nuclearreactor.Theuncertaintiesassociatedtotheneuralpredictionsarequantifiedbyresortingtothebootstraptechnique.Thetrainedneuralnetworksarefurtherusedtoperformasensitivityanalysisaimedatidentifyingtheparameterswhichmostsignificantlyinfluencethemaximumfuelcladdingtemperature.
Journal title :
Nuclear Engineering and Design Eslah
Serial Year :
2008
Journal title :
Nuclear Engineering and Design Eslah
Record number :
895171
Link To Document :
https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=895171
بازگشت