摘要
探讨了径向基函数神经网络在个股走势模式分类中的应用问题。提出了一种可调基宽度的计算方法和若干数据预处理的措施。实例计算表明。
In this paper,we discuss the application of radial basis function neural network to pattern classification of stock changing tendency. We put forward a computing method for adjusting the basis width as well as some data preprocessing strategies. Simulation results show that our method is efficient.
出处
《运筹与管理》
CSCD
1999年第3期46-50,共5页
Operations Research and Management Science
基金
福建省自然科学基金
关键词
径向基函数神经网络
股票走势
模式分类
RBF neural network
shares changing tendency
pattern classification
