This study presents a multilayer perceptron (MLP) cascaded with a logistic regression (LR) model for the probability of default (PD) estimation of real-life ...
Abstract—This study presents a multilayer perceptron (MLP) cascaded with a logistic regression (LR) model for the probability of default (PD) estimation of ...
This study presents a multilayer perceptron (MLP) cascaded with a logistic regression (LR) model for the probability of default (PD) estimation of real-life ...
This study proposes a knowledge discovery method that uses multilayer perceptron (MLP) based neural rule extraction (NRE) approach for credit risk analysis ...
Missing: PD | Show results with:PD
https://dblp.org/rec/conf/iscis/DereliogluG09. Gülnur Derelioglu, Fikret S. Gürgen: A MLP based PD estimation model for SME credits. ISCIS 2009: 265-268. [c1].
Gurgen (2009) “A MLP based PD estimation model for SME credits”, Conference: The 24th International Symposium on Computer and Information Sciences, 14-16 ...
Derelioğlu, G., Gürgen, F., “A MLP based PD estimation model for SME credits”, 2009 24th International Symposium on Computer and Information Sciences, 64-267, ...
Apr 28, 2022 · This paper aims to build a credit default identification model based on an intelligent optimization method.
This study compares the credit classification performance of SVM with the widely used technique of logistic regression, and proposes a cascaded model based ...
In this study, we consider the construction of through-the-cycle (TTC) PD models designed for credit underwriting uses and point-in-time (PIT) PD models ...