A hybrid neural network model based on improved PSO and SA for bankruptcy prediction
@article{Azayite2019AHN, title={A hybrid neural network model based on improved PSO and SA for bankruptcy prediction}, author={Fatima Zahra Azayite and S. Achchab}, journal={ArXiv}, year={2019}, volume={abs/1907.12179} }
Predicting firm's failure is one of the most interesting subjects for investors and decision makers. In this paper, a bankruptcy prediction model is proposed based on Artificial Neural networks (ANN). Taking into consideration that the choice of variables to discriminate between bankrupt and non-bankrupt firms influences significantly the model's accuracy and considering the problem of local minima, we propose a hybrid ANN based on variables selection techniques. Moreover, we evolve the… CONTINUE READING
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