A multi-layer perceptron model of credit scoring.
In this study, a Multi-Layer Perceptron (MLP), one of several neural network architectures, is used to construct a credit-scoring model for the prediction of credit card applicants' credit-worthiness. There are three types of applicant characteristics that affect credit-worthiness. They are c...
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sg-ntu-dr.10356-427862024-01-12T10:21:50Z A multi-layer perceptron model of credit scoring. Lee, Choon Hong. Lian, Eric Voon Fui. Low, Chee Seng. Nanyang Business School Koh Hian Chye DRNTU::Business::Finance In this study, a Multi-Layer Perceptron (MLP), one of several neural network architectures, is used to construct a credit-scoring model for the prediction of credit card applicants' credit-worthiness. There are three types of applicant characteristics that affect credit-worthiness. They are character, capacity and capital. Each characteristic has its input variables and the ones selected for character are Education, Sex, Age and Marital Status. The input variables selected for capacity are Total Income, Occupation, Years in Service, Number of Dependents and Number of Cards Held. Those for capital are Home Ownership and Number of Bank Accounts. Master of Business Administration (Banking & Finance) 2011-01-11T04:26:45Z 2011-01-11T04:26:45Z 1998 1998 Thesis http://hdl.handle.net/10356/42786 en 57 p. application/pdf |
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DRNTU::Business::Finance Lee, Choon Hong. Lian, Eric Voon Fui. Low, Chee Seng. A multi-layer perceptron model of credit scoring. |
description |
In this study, a Multi-Layer Perceptron (MLP), one of several neural network
architectures, is used to construct a credit-scoring model for the prediction of credit card applicants' credit-worthiness.
There are three types of applicant characteristics that affect credit-worthiness. They are character, capacity and capital. Each characteristic has its input variables and the ones selected for character are Education, Sex, Age and Marital Status. The input variables
selected for capacity are Total Income, Occupation, Years in Service, Number of
Dependents and Number of Cards Held. Those for capital are Home Ownership and Number of Bank Accounts. |
author2 |
Nanyang Business School |
author_facet |
Nanyang Business School Lee, Choon Hong. Lian, Eric Voon Fui. Low, Chee Seng. |
format |
Theses and Dissertations |
author |
Lee, Choon Hong. Lian, Eric Voon Fui. Low, Chee Seng. |
author_sort |
Lee, Choon Hong. |
title |
A multi-layer perceptron model of credit scoring. |
title_short |
A multi-layer perceptron model of credit scoring. |
title_full |
A multi-layer perceptron model of credit scoring. |
title_fullStr |
A multi-layer perceptron model of credit scoring. |
title_full_unstemmed |
A multi-layer perceptron model of credit scoring. |
title_sort |
multi-layer perceptron model of credit scoring. |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/42786 |
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1789483076844257280 |