基于Elman神经网络的股市决策模型

利用具有时变适应能力的Elman动态回归神经网络,建立了股市的预测和决策模型,并利用两只股票进行了实验检验,实验结果表明,该模型具有较高的预测精度、较为稳定的预测效果和较快的收敛速度,说明该模型应用于股票市场的预测与决策是可行和有效的,对于短期的买卖决策具有指导意义,有着良好的应用前景.

Stock market's decision-making model based on Elman neural network

In order to be effective forecasting and deciding,the Elman neural networks of dynamic recurrent with time-varying ability were applied,The stock market forecast and decision-making model was built in this article.And two shares were selected for the test.The experimental results show that the model applied to the stock market forecast and decision-making is feasible and effective,so it has a good prospect.