| 基于RBF神经网络的中国CPI预测研究 |
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| 引用本文： | 任亚,李萍.基于RBF神经网络的中国CPI预测研究[J].西安财经学院学报,2011,24(1):62-65. |
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| 作者姓名： | 任亚 李萍 |
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| 作者单位： | 西安财经学院,陕西,西安,710100 |
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| 摘 要： | 文章将RBF神经网络模型引入到CPI预测领域,运用2001年1月至2010年4月间的国家统计局数据,通过Markway4.0建立CPI预测的数据网络模型。计算结果证明,RBF数据网络模型应用于CPI预测具有较高的精度和良好的泛化能力。
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| 关 键 词： | 统计模型 数据挖掘 CPI RBF神经网络 |
The Research Based on RBF Neural Network in the CPI Prediction of China |
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| REN Ya,LI Ping.The Research Based on RBF Neural Network in the CPI Prediction of China[J].Journal of Xi‘an Institute of Finance & Economics,2011,24(1):62-65. |
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| Authors: | REN Ya LI Ping |
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| Institution: | REN Ya,LI Ping(School of Statistics,Xi'an University of Finance and Economics,Xi'an 710100,China) |
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| Abstract: | The RBF neural network model is introduced in the paper for prediction of CPI,establishing data neural model by the software Markway 4.0 based on the national bureau of statistics month data between January 2001 and April 2010.The results show that RBF data network model has high precision and good generalization ability in predicting CPI. |
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| Keywords: | CPI |
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