基于改进BP神经网络在开放式基金预测中的应用  

Application of Improved BP Neutral Network in Open End Fund Forecasting

作　　者：黄贵懿[1] 

机构地区：[1]重庆文理学院,重庆402160

出　　处：《海南大学学报（自然科学版）》2010年第1期64-67,共4页Natural Science Journal of Hainan University

摘　　要：结合开放式基金的特点,提出了一种新的基金收益与风险预测方法.模型采用C#.NET+SQL server2005实现,运用神经网络和遗传算法相结合等技术,加快了BP网络训练的时间,提高了网络全局收敛的效率,实验结果表明,该系统对基金收益与风险预测有良好的效果.In this paper, a new forecasting method of income and risk of Open End Fund was presented by analyzing the characteristic of it. The model was implemented with C#. NET and SQL server 2005, and neural network combined with genetic algorithm were used to fasten the time of BP net training and improve the convergent efficiency of network. The data demonstrated that the system has excellent results for forecasting income and risk of Fund.

关 键 词：神经网络算法 遗传算法 开放式基金 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]