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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Main Authors: Lee, Choon Hong., Lian, Eric Voon Fui., Low, Chee Seng.
Other Authors: Nanyang Business School
Format: Theses and Dissertations
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/42786
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance
spellingShingle 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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