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ArticleNeural networks and genetic algorithms for bankruptcy predictions

Barbro Back1996

Article1996

Neural networks and genetic algorithms for bankruptcy predictions

Barbro Back · Teija Laitinen · Kaisa Sere

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

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Forecasting Techniques and Applications

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1985Positive Accounting Theory 1966Financial Ratios As Predictors of Failure 1977ZETATM analysis A new model to identify bankruptcy risk of corporations 1972A Discriminant Analysis of Predictors of Business Failure 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction 1994Bankruptcy prediction using neural networks

Cited by

2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support 2009Financial crises and bank failures: A review of prediction methods 2011A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method 2006Using Bayesian networks for bankruptcy prediction: Some methodological issues 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey

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Year1996

Typearticle

Published1996-01-01

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations198

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/s0957-4174(96)00055-3

openalex_workW2094835679

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2009Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks

2012Financial distress prediction using support vector machines: Ensemble vs. individual

2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy