基于遗传神经网络的个股价格短期预测  

A short-term forecasting method of the price of individual stock based on genetic-neural network

作　　者：郝华宁[1] 刘阳[1] 

机构地区：[1]西安石油大学理学院,陕西西安710065

出　　处：《西安石油大学学报（自然科学版）》2010年第2期88-90,95,共4页Journal of Xi’an Shiyou University（Natural Science Edition）

基　　金：国家自然科学基金(编号:50905141)资助

摘　　要：针对个股价格的短期预测,提出了一种基于遗传神经网络算法的股票收盘价格分析和预测方法,在允许的相对误差下,所得到的模拟结果表明预测系统能够较好地预测股票价格的趋势.人工神经网络预测股票价格具有良好的应用前景,而遗传神经网络算法则可提高预测的速度和可靠性.A method for analyzing and forecasting the closing price of a stock based on the genetic-BP algorithm is put forward.The simulation results show that,within the range of allowable error,the obtained data from the present model can well forecast the short-term trend of a stock price.The stock market is a very complex nonlinear system,and so predicting the stock price using neural network has well foreground.The studies in this paper also prove that the genetic--neural algorithm can improve the speed and reliability of foresting.the closing price of a stock.

关 键 词：遗传神经网络 股票价格 短期预测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] F830.91[自动化与计算机技术—控制科学与工程]