Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy
Year of publication: |
2010
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Authors: | du Jardin, Philippe |
Institutions: | Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München |
Subject: | Financial failure | Variable selection | Neural network |
Extent: | application/pdf |
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Series: | |
Type of publication: | Book / Working Paper |
Notes: | Published in Neurocomputing 10-12.73(2010): pp. 2047-2060 |
Classification: | C45 - Neural Networks and Related Topics ; C51 - Model Construction and Estimation ; G33 - Bankruptcy; Liquidation |
Source: |
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Rodríguez, Manuel, (2014)
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Rodríguez, Manuel, (2014)
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The influence of variable selection methods on the accuracy of bankruptcy prediction models
du Jardin, Philippe, (2012)
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The influence of variable selection methods on the accuracy of bankruptcy prediction models
du Jardin, Philippe, (2012)
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Bankruptcy prediction and neural networks: The contribution of variable selection methods
du Jardin, Philippe, (2008)
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Bankruptcy prediction models: How to choose the most relevant variables?
du Jardin, Philippe, (2009)
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