| 基于灰色关联分析与主成分分析的BP网络模型及其应用研究 |
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| 引用本文： | 岳毅宏,韩文秀.基于灰色关联分析与主成分分析的BP网络模型及其应用研究[J].软科学,2002,16(6):19-21. |
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| 作者姓名： | 岳毅宏 韩文秀 |
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| 作者单位： | 天津大学管理学院,天津,300072 |
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| 基金项目： | 国家自然科学基金资助项目(79970043 |
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| 摘 要： | 如何提高BP神经网络算法的预测精度与效率,始终是人们关注的一个重要问题。本文利用灰色关联度分析与主成分分析对BP神经网络的输入变量进行了预处理,提高了BP算法对于复杂经济问题的预测精度与效率。本文最后以中国房地产总量的预测问题为例,验证了模型的有效性。
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| 关 键 词： | 灰色关联分析 主成分分析 BP神经网络 预测 房地产总量 |
| 文章编号： | 1001-8409(2002)06-0019-03 |
A Study of BP Neural Network and Application Based On Gray Correlation Analysis and Principal Component Analysis |
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| YUE Yi-hong,HAN Wen-xiu.A Study of BP Neural Network and Application Based On Gray Correlation Analysis and Principal Component Analysis[J].Soft Science,2002,16(6):19-21. |
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| Authors: | YUE Yi-hong HAN Wen-xiu |
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| Abstract: | It is an important problem that how to improve the prediction precision and efficiency of BP network.In this paper,gray correlation analysis and principal component analysis are applied to treat the input variables of BP neural network,which has greatly improved precision and efficiency of BP algorithm for complicated economic problems .In the end,a case of the prediction of China real estate summation is analyzed to verify the availability of the model described in this paper. |
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| Keywords: | gray correlation analysis principal component analysis BP neural network prediction real estate summation |
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