摘要
基于股市波动的特点提出一种新的数据预处理方法——高低点法,并使用人工神经网络构建一个用于股市预测的高低点周期预测模型,该模型较好地刻画了股票市场运行的特点。
Based on the characteristics of fluctuations of the stock market, a new method of data preprocessing - High -- Low Point was presented in this article. A period forecast model of stock high low point based on artificial neural networks was presented too. The model describes the characteristics of the stock market.
出处
《计算技术与自动化》
2009年第4期128-132,共5页
Computing Technology and Automation
基金
青岛市软科学项目(KZJ-41)
关键词
人工神经网络
股票预测模型
数据预处理
高低点法
artificial neural networks
forecast model of stock
data preprocessing
high--low point method
