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Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction
(2000)
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 conjugate gradient optimization ...
Comparative analysis of artificial neural network models: Application in bankruptcy prediction
(IEEE, 1999)
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 conjugate gradient optimization algorithm, ...
The prediction of earnings using financial statement information: empirical evidence with logit models and artificial neural networks
(1996)
In the past three decades, earnings have been one of the most researched variables in accounting. Empirical research provided substantial evidence on its usefulness in the capital markets but evidence in predicting earnings ...
Application of feature extractive algorithm to bankruptcy prediction
(IEEE, 2000)
This study uses the feature selection algorithm proposed by Setiono and Liu to select the most relevant features for the bankruptcy prediction problem. The method uses a feedforward neural network with one hidden layer to ...