DocumentCode
3721457
Title
Bp neural network model for prediction of listing Corporation stock price of Qinghai province
Author
Peng Liu; Ying Ren
Author_Institution
School of Economics and Management, Beijing Jiaotong University, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
6
Abstract
The article based on analyzing the theory of stock investment and the stock price prediction method, starting from the practical point of view, by describing the background and significance in Qinghai province listing Corporation stock price forecasting, which makes people aware of the importance of the stock prediction, introduces the stock prediction theory and the theory of BP neural network. This paper takes western mining and Qinghai gelatin which are two listing Corporation of Qinghai province as an example for inquiry. Contrasting the forecast accuracy and change direction of three periods and comparing the prediction accuracy of different trading systems, it draws the preliminary conclusion.
Keywords
"Neural networks","Erbium","Forecasting","Stock markets","Predictive models","Error analysis","Training"
Publisher
ieee
Conference_Titel
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type
conf
DOI
10.1109/LISS.2015.7369738
Filename
7369738
Link To Document