会议专题

Applied Research on Stock Forcasting Model Based on BP neural network

making use of the function approximation and selflearning of BP neural network, we analyze the historical data in Shanghai Stock between June 2006 and November 2009, construct a stock forecasting model based on BP neural network, and verify the model through some test samples. Finally, we can use the Robust model to forcast the short-term stock. Matiab simulation experiments indicate that the model is feasible and effective in short-term stock forcasting.

BP neural network function approximability stock forcasting

Yue Ma Yu Chang Chunyu Xia

College of Management Northwestern Polytechnical University xian 710129, China

国际会议

2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

哈尔滨

英文

4578-4580

2011-08-12(万方平台首次上网日期,不代表论文的发表时间)