@inproceedings{edad369b332148548c955f5ca943146d,
title = "Applied research on stock forcasting model based on BP neural network",
abstract = "Making use of the function approximation and self-learning 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. Matlab simulation experiments indicate that the model is feasible and effective in short-term stock forcasting.",
keywords = "BP neural network, function approximability, stock forcasting",
author = "Yue Ma and Chang Yu and Chunyu Xia",
year = "2011",
doi = "10.1109/EMEIT.2011.6023120",
language = "英语",
isbn = "9781612840857",
series = "Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011",
pages = "4578--4580",
booktitle = "Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011",
note = "2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011 ; Conference date: 12-08-2011 Through 14-08-2011",
}