# name
Two-Layer Feed Forward Neural Network (TLFN) in Predicting Loan Default Probability

# metadata.dc.description[].value
Treballs 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 Porras

# metadata.dc.description.abstract[].value
(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.

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Estadística i Economia (Doble Grau UB-UPC)

# metadata.dc.title[].value
Two-Layer Feed Forward Neural Network (TLFN) in Predicting Loan Default Probability