模糊神经网络在股票市场预测中的应用  

Research of Stock forecasts Based on Neural Networks

作　　者：殷洪才[1] 赵春燕[2] 王佳秋[2] 

机构地区：[1]哈尔滨师范大学,黑龙江哈尔滨150080 [2]黑龙江科技学院,黑龙江哈尔滨150027

出　　处：《哈尔滨理工大学学报》2007年第4期82-85,共4页Journal of Harbin University of Science and Technology

基　　金：黑龙江省自然科学基金资助项目(A2004-09);黑龙江省教育厅资助项目(11511113)

摘　　要：利用股票市场的理论和模糊神经网络来预测股票价格.运用技术指标和高木-关野模型,对所预测股票进行200多个交易日的数据量的训练,使得模型可靠,再对其10个交易日进行测试.从实验结果看,效果良好.By applying stock market theory and fuzzy neural networks to predict share price and using technology index and Takagi-sueno model, more than zoo stock buying and selling days are trainde, having model reliable and 10 buying and selling days are tested with fine results acquired.

关 键 词：股价预测 模糊神经网络 BP算法 高木-关野模型 

分 类 号：O23[理学—运筹学与控制论]