STOCK PREDICTION BASED ON NEURAL NETWORK

in this paperl problems about stock prediction based on neural network arediscussed, which include original stock data pre-processing and training-set determining. A neural network model , that can describe the dynamic and time sequence characteristics of a stock market, and the modified training algorithm are proposed. Results ofprediction experiments with real data of Shanghai stock market prove the efficiency ofour method for its high accuracy.