Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/5311
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGhosh, A-
dc.contributor.authorPal, N R-
dc.contributor.authorPal, Sankar K-
dc.date.accessioned2013-03-04T05:51:19Z-
dc.date.available2013-03-04T05:51:19Z-
dc.date.issued1995-
dc.identifier.citationIEEE Transactions on Neural Networks, v. 6, p.648-656,en_US
dc.identifier.urihttp://hdl.handle.net/10263/5311-
dc.language.isoenen_US
dc.subjectModelingen_US
dc.subjectObject extractionen_US
dc.subjectRobustnessen_US
dc.subjectNeural networksen_US
dc.subjectEvaluationen_US
dc.titleModeling of component failure in neural networks for robustness evaluation : an application to object extractionen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
ITONN-6-3-1995-P648-656.pdf3.13 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.