| 基于改进BP神经网络在开放式基金预测中的应用 |
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| 引用本文： | 黄贵懿. 基于改进BP神经网络在开放式基金预测中的应用[J]. 海南大学学报(自然科学版), 2010, 28(1): 64-67 |
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| 作者姓名： | 黄贵懿 |
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| 作者单位： | 重庆文理学院,重庆,402160 |
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| 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.
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| 关 键 词： | 神经网络算法 遗传算法 开放式基金 |
Application of Improved BP Neutral Network in Open End Fund Forecasting |
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| HUANG Gui-yi. Application of Improved BP Neutral Network in Open End Fund Forecasting[J]. Natural Science Journal of Hainan University, 2010, 28(1): 64-67 |
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| Authors: | HUANG Gui-yi |
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| Affiliation: | HUANG Gui-yi (Chongqing University of Arts and Sciences, Chongqing 402160, China) |
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| Abstract: | 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. |
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| Keywords: | neutral network algorithm genetic algorithms open end fund |
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