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.
出处
《西安石油大学学报（自然科学版）》
CAS
北大核心
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
关键词
遗传神经网络
股票价格
短期预测
genetic-neural network
stock price
short-term forecasting
