A novel ann training approach for supervised and constructive learning applied to fault classification & short-circuit zoning in rural primary distribution systems

dc.date.accessioned2016-12-05T17:40:46Z
dc.date.available2016-12-05T17:40:46Z
dc.date.created2016-12-05T17:40:46Z
dc.date.issued2012
dc.identifier1454-9069
dc.identifierhttp://hdl.handle.net/10533/143824
dc.identifier1120178
dc.identifierWOS:000312118100012
dc.languageeng
dc.publisherEDITURA ACAD ROMANE
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1120178
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleA novel ann training approach for supervised and constructive learning applied to fault classification & short-circuit zoning in rural primary distribution systems
dc.typeArticulo


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