计算机技术与发展Issue(6)：28-31,4.DOI:10.3969/j.issn.1673-629X.2014.06.007
基于三次样条权函数神经网络的股价预测
Stock Prediction Based on Neural Networks with Cubic Spline Weight Functions
摘要
Abstract
With economic development,stocks have become a way of finance and investment for many people,and the stock price forecas-ting has become the focus of investors' attention and study. Establishing a stock price forecasting model with high computing speed and accuracy has theoretical and practical significance for financial investors. As the traditional BP algorithm has problems such as low learn-ing speed,easy to fall into local minimum value,difficult to determine the number of hidden layer neurons,the stock prediction model is established using the neural networks with cubic spline weight functions to overcome the shortcomings of traditional neural networks. The simulation results show that the model has high accuracy and can effectively predict the stock market.关键词
权函数/三次样条函数/BP算法/神经网络/股价预测Key words
weight function/cubic spline function/BP algorithm/neural networks/stock price prediction分类
信息技术与安全科学引用本文复制引用
张浩,张代远..基于三次样条权函数神经网络的股价预测[J].计算机技术与发展,2014,(6):28-31,4.基金项目
江苏高校优势学科建设工程资助项目(yx002001) （yx002001）
