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Artificial neural networks and bankruptcy forecasting: a state of the art · Study

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ArticleArtificial neural networks and bankruptcy forecasting: a state of the art

Muriel Perez2006

Article2006

Artificial neural networks and bankruptcy forecasting: a state of the art

74 citations·0/0 files stored·Neural Computing and Applications

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

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References

1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1990A neural network model for bankruptcy prediction 1994Bankruptcy prediction using neural networks 1992Neural Networks: A New Tool for Predicting Thrift Failures*1993Recognizing Financial Distress Patterns Using a Neural Network Tool 1981The probability of bankruptcy 1995Effectiveness of neural network types for prediction of business failure

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2012The Accuracy of Altman’s Models in Predicting Hotel Bankruptcy 2009Insolvency Prediction Model Using Multivariate Discriminant Analysis and Aartificial Neural Network for the Ffinance Industry in New Zealand 2019A Differential Evolution‐Oriented Pruning Neural Network Model for Bankruptcy Prediction 2022Systematic Review of Financial Distress Identification using Artificial Intelligence Methods 2010Predicting Bankruptcy: Evidence from Israel

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Year2006

Typearticle

Published2006-01-09

VenueNeural Computing and Applications

ISSN-L0941-0643

Languageen

Citations74

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/s00521-005-0022-x

openalex_workW1997841356

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2018Financial distress prediction of Islamic banks using tree-based stochastic techniques

2012Assessing methodologies for intelligent bankruptcy prediction

2012Prediction of corporate financial distress: an application of the America banking industry