计算机应用与软件Issue(5)：89-92,4.DOI:10.3969/j.issn.1000-386x.2014.05.022
基于神经网络的股票价格预测模型
NEURAL NETWORK BASED STOCK PRICE PREDICTION MODEL
摘要
Abstract
A BP neural network based stock price prediction model (SPPM)is put forward.SPPM integrates a number of neural networks, so that it can predict stock price trends in a few days.Some key problems of SPPM such as data preprocessing,output fusion,neural network hidden layer node number setting and so on are discussed in detail.Experiment results show that SPPM is of certain practical value.关键词
神经网络/时间序列/股票Key words
Neural network/Time series/Stock分类
信息技术与安全科学引用本文复制引用
陈嶷瑛,张泽星,李文斌..基于神经网络的股票价格预测模型[J].计算机应用与软件,2014,(5):89-92,4.基金项目
河北省科技厅项目（09213575D，09213515D）。 （）
