Predicting the financial distress of firms using genetic neural networks
Hongshan Yao · Journal of Central China Normal University · 2005
Abstrcat The authors set up a genetic artificial neural networks model(GANN) using the character of globally searching optimization for genetic algorithm. The model optimizes the input variables of neural networks for predicting financial distress. The forecasting outcome for some listed companies issued A-shares on Shanghai Securities Exchange(SHSE) and Shenzhen Securities Exchange(SZSE) support the fact that the predicting ability of GANN outperforms the predicting ability of ANN model.