| 基于BP神经网络模型的中国原材料购进价格指数定量分析 |
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| 引用本文： | 李玮玲.基于BP神经网络模型的中国原材料购进价格指数定量分析[J].安庆师范学院学报(自然科学版),2011,17(4):41-43,70. |
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| 作者姓名： | 李玮玲 |
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| 作者单位： | 苏州科技学院数理学院,江苏苏州,215009 |
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| 摘 要： | 基于中国两次金融危机期间,原材料、燃料、动力购进价格(PPR)指数运行相关性较高的特点,运用改进的BP神经网络模型,在对PPR指数运行进行拟合预测的基础上,对2011年中国PPR指数进行了预测分析,结果显示全年PPR指数预计为105.083 3,说明2011年我国物价上涨压力明显,稳定物价水平是2011年经济工作的重点。
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| 关 键 词： | PPR指数 预测分析 金融危机 |
Quantitative Analysis of the Purchase Raw Materials Price Index Based on BP Neural Network Model |
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| LI Wei-ling.Quantitative Analysis of the Purchase Raw Materials Price Index Based on BP Neural Network Model[J].Journal of Anqing Teachers College(Natural Science Edition),2011,17(4):41-43,70. |
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| Authors: | LI Wei-ling |
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| Institution: | LI Wei-ling(School of Mathematics and Physics,University of Science and Technology of Suzhou,Jiangsu Suzhou 215009,China) |
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| Abstract: | Based on the characteristics of higher correlation on the Chinese raw materials,fuel and power price indexes during the past two financial crisis,we have predicted 2011 Chinese PPR index by using the improved BP neural network model.The study shows that the all year PPR index is expected to be 105.0833 and the price pressure of rising is obvious in China in 2011. |
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| Keywords: | PPR index prediction analysis financial crisis |
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