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Forecasting with neural networks
2 references·16 citing·38 second hop
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this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1975The Predictive Sample Reuse Method with Applications2,746 cited

Cited by

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  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited

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1998
An empirical comparison of bankruptcy models
238 cited
  • 2003The discovery of experts' decision rules from qualitative bankruptcy data using genetic algorithms180 cited
  • 1999Comparative analysis of failure prediction methods: the Finnish case175 cited
  • 1998Construction Labor Productivity Modeling with Neural Networks170 cited
  • 2016Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)155 cited
  • 2002A roadmap for future neural networks research in auditing and risk assessment155 cited