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Comparative analysis of artificial neural network models: application in bankruptcy prediction
This study compares the predictive performance of three neural network methods, namely the learning vector quantization, radial basis function, the feedforward network that uses the conjugateExpand
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Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction
This study compares the predictive performance of three neural network methods, namely the learning vector quantization, the radial basis function, and the feedforward network that uses the conjugateExpand
  • 96
  • 2
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Application of feature extractive algorithm to bankruptcy prediction
This study uses the feature selection algorithm proposed by Setiono and Liu (1997) to select the most relevant features for the bankruptcy prediction problem. The method uses a feedforward neuralExpand
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Comparative analysis of artificial neural network models: application in bankruptcy prediction
This study compares the predictive performance of three neural network methods, namely the learning vector quantization, radial basis function, the feedforward network that uses the conjugateExpand
  • 6