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ArticleEnsemble with neural networks for bankruptcy prediction

Myoung-Jong Kim2009

Article2009

Ensemble with neural networks for bankruptcy prediction

Myoung-Jong Kim · Dae-Ki Kang

266 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Neural Networks and Applications Forecasting Techniques and Applications

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 1977ZETATM analysis A new model to identify bankruptcy risk of corporations 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 1996A survey of business failures with an emphasis on prediction methods and industrial applications 1970PREDICTION OF BANK FAILURES

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2017A deep learning ensemble approach for crude oil price forecasting 2017Corporate bankruptcy prediction: a high dimensional analysis 2017A novel heterogeneous ensemble credit scoring model based on bstacking approach 2022Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering 2014A comparative study of classifier ensembles for bankruptcy prediction

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Details

Year2009

Typearticle

Published2009-10-16

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations266

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2009.10.012

openalex_workW1996801166

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2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble

2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods

2016A two-stage classification technique for bankruptcy prediction