本文在深入了解股价的可预测性和研究各种股价预测的方法的基础上,探讨利用BP神经网络和灰色模型进行股价预测。以二者为基础,将BP神经网络和灰色模型预测模型的优点结合,提出灰色神经网络模型。该模型将灰色模型的预测值作为BP神经网络的输入变量,而以实际值作为输出变量对神经网络进行训练。 Based on the deep understanding of the predictability of the stock price and the study of various stock price forecasting methods, this paper discusses the use of BP neural network and gray model for stock price forecasting. Based on the two, combining the advantages of BP neural network and gray model prediction model, a gray neural network model is proposed. The model uses the predictive value of the gray model as the input variable of the BP neural network and the actual value as the output variable to train the neural network.