Stock Market Forecasting Based on Artificial Neural Network Model

被引：0
|
作者：
Zhou Shaofu [1 ]
Xu Yang [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Econ, Wuhan 430074, Peoples R China
来源：
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2008年
关键词：
Neural Network; Stock Forecasting; Data Mining;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper reasearches oil stock market forecasting based oil Artificial Neural Network ModelThe paper quantizes the part of stock's effect factors and syncretizes to the technologically analytical method in traditional securities, to filter the input variables by Data Mining algorithm, and use the updated BPNN algorithm which is LM algorithm to set up a model to forecast and simulate Shanghai stock composite index. The results show that BPNN can efficiently forecast the stock market. and has feasibility.
引用
收藏
页码：1119 / 1123
页数：5
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