Stock market forecasting research based on Elman neural network
基于Elman神经网络的股票价格预测研究

The Stock market is typical complex object, which is hard to construct accurate mathematical model. For holding the securities price volatility, to presents a method for stock market prediction modeling by utilizing the good handles date capability of Elman neural networks. And the model was tested by two stocks. The result of the tests show that Elman neural networks are feasible and efficient for the prediction of Chinese stock market.