The Research on Stock Price Forecast Model Based on Data Mining of BP Neural Networks

The model of stock price forecast based on data mining of BP neural networks is put forward in this article. On the basis of an integrated data mining process of selection of data samples, data conversion, network modeling, network simulation, and evaluation of results, the prediction about the trend of SSE (Shanghai Stock Exchange) Composite Index provides a higher accuracy. It indicates that the use of data mining of BP neural network in the forecast of non-linear system has advantages, so will it provide a new idea for the forecast of non-linear system.