Forecasting Stock Index Based On BP Neural Network Algorithm

被引：0
|
作者：
Chi, Wanle [1 ]
机构：
[1] Wenzhou Vocat & Tech Coll, Dept Informat Technol, Wenzhou 325000, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2018) | 2018年 / 149卷
关键词：
BP neural network; forecasting; stock index;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
BP neural network to forecast non-linear system, especially the financial data system, has a very strong capacity. A system model based on BP algorithm for forecast stock index was studied and shanghai complex index was forecasted in this paper. This paper has collected the index data of shanghai stock market (238 working days) during the period of 2017-01-08 to 2017-12-28. This paper was applying back propagation network to forecast shanghai complex index. The simulation result was shown that the BP algorithm was effective and feasible in stock index short-term forecast, and can achieve high accuracy.
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页码：751 / 755
页数：5
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