Bankruptcy prediction models : probabilistic neural networks versus discriminant analysis and backpropagation neural networks

@inproceedings{Tyree2007BankruptcyPM,
  title={Bankruptcy prediction models : probabilistic neural networks versus discriminant analysis and backpropagation neural networks},
  author={Eric W. Tyree and John A Long},
  year={2007}
}
The purpose of this paper is present probabilistic neural networks (PNN) as an alternative quantitative technique to both linear discriminant analysis (LDA) and backpropagated neural networks (BPNN) for forecasting corporate solvency. Although traditionally this task has been approached with rather simpler linear techniques such as LDA, there is increasing empirical evidence of the superiority of BPNN models to LDA in terms of its ability to accurately forecast corporate financial health… CONTINUE READING
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