Research on the Prediction of Stock Market Based on BP Neural Network

被引：0
|
作者：
Yuan, Yaze [1 ]
Su, Mengmeng
机构：
[1] Northwestern Polytech Univ, Xian 710000, Shaanxi, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON MATERIALS, ENERGY, CIVIL ENGINEERING AND COMPUTER (MATECC 2017) | 2017年
关键词：
Prediction technology; Stock market; BP neural network;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The stock market is a highly complex nonlinear dynamic system, and its fluctuation rule is affected by many factors. The index prediction of the stock market is a concern of economic managers. This paper first analyzes the concept and characteristics of BP neural network, and then proposes a prediction model of Shanghai composite index based on BP neural network. The result shows that this scheme has higher accuracy, which can provide some references for the investors to guard against the financial risks.
引用
收藏
页码：16 / 19
页数：4
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