摘要
引入数据挖掘技术中的神经网络技术对上证综合指数进行分析,通过建立神经网络模型对次日收盘指数进行预测,经过多次实验和比较,得到精度较高的次日收盘指数预测模型,利用该模型,本文预测了2010年1至4月份的上证综合指数次日收盘点数,通过与真实值比较发现,神经网络模型在预测上证综合指数方面具有较好的效果,因此,在一定程度上解决股民入市时机选择问题。
This paper use the neural network technology to analyse the Shanghai securities index and predict the closing prices of next day by establishing neutral network models.After several experiments and comparison,a superior model is selected.Using that model,we predicted Shanghai securities indexes from Jan to Apr,2010 and compare the prediction results with actural values.As a result,neutral network model has shown a satisfying outcome,therefore the problem of when for investors to enter the stock market is solved to some extent.
出处
《计算技术与自动化》
2010年第3期108-112,共5页
Computing Technology and Automation
