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基于灰色神经网络的股票收益率预测

曹雷欣 孙红兵

计算机与数字工程2017,Vol.45Issue(1):24-28,5.
计算机与数字工程2017,Vol.45Issue(1):24-28,5.DOI:10.3969/j.issn.1672-9722.2017.01.006

基于灰色神经网络的股票收益率预测

Stock Returns Forecasting Based on Gray Neural Network

曹雷欣 1孙红兵1

作者信息

  • 1. 昆明理工大学理学院 昆明650500
  • 折叠

摘要

Abstract

Stock market is a huge nonlinear dynamic system,so it is difficult to fully reflect the development of the stock market.In this paper,a combined model of grey GM(1,N) and BP neural network are constructed to forecast the yield of Shanghai Stock Exchange,and the result is good.The experimental results can help stock investors to grasp the future trend of the stock market and provide reference to avoid risk of investment.

关键词

股票收益率预测/灰色神经网络/灰色GM(1,N)预测模型/技术分析

Key words

stock returns prediction/grey neural network/grey GM(1,N) prediction model/technical analysis

分类

管理科学

引用本文复制引用

曹雷欣,孙红兵..基于灰色神经网络的股票收益率预测[J].计算机与数字工程,2017,45(1):24-28,5.

计算机与数字工程

OACSTPCD

1672-9722

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