Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/142421
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dc.contributor.advisorVegas Lozano, Esteban-
dc.contributor.advisorReverter Comes, Ferran-
dc.contributor.advisorTorra Porras, Salvador-
dc.contributor.authorRusiñol de Rueda, Marcos-
dc.date.accessioned2019-10-16T09:36:57Z-
dc.date.available2019-10-16T09:36:57Z-
dc.date.issued2019-06-
dc.identifier.urihttp://hdl.handle.net/2445/142421-
dc.descriptionTreballs Finals del Grau d'Economia i Estadística. Doble titulació interuniversitària, Universitat de Barcelona i Universitat Politècnica de Catalunya. Curs: 2019-2020. Tutors: Esteban Vegas Lozano ; Ferran Reverter Comes; Salvador Torra Porrasca
dc.description.abstract(eng) The main objective of the thesis is to apply a Neural Network (NN) approach in the PD used to assess whether a credit operation is granted or not. That is, given an operation, the NN model should predict whether it is granted [0], or not granted [1]. Credit Risk Models and Deep Learning concepts are also explained.ca
dc.format.extent116 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc by-nc-nd (c) Rusiñol de Rueda, 2019-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Estadística i Economia (Doble Grau UB-UPC)-
dc.subject.classificationEstadística-
dc.subject.classificationRisc de crèdit-
dc.subject.classificationIntel·ligència artificial-
dc.subject.classificationTreballs de fi de grau-
dc.subject.otherStatistics-
dc.subject.otherCredit risk-
dc.subject.otherArtificial intelligence-
dc.subject.otherBachelor's theses-
dc.titleTwo-Layer Feed Forward Neural Network (TLFN) in Predicting Loan Default Probabilityeng
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Estadística i Economia (Doble Grau UB-UPC)

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