Abstract： 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.
收稿日期: 2005-02-25
引用本文:
姚宏善 沈轶. 用遗传神经网络模型预测公司财务困境[J]. , 2005, 44(2): 0-0.
姚宏善 沈轶. Predicting the financial distress of firms using genetic neural networks. , 2005, 44(2): 0-0.
