| 基于BP神经网络的我国M2/GDP预测与对策 |
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| 引用本文： | 王宇,李旭东.基于BP神经网络的我国M2/GDP预测与对策[J].生态经济(学术版),2007(9):48-51. |
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| 作者姓名： | 王宇 李旭东 |
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| 作者单位： | 西南财经大学经济信息工程学院 成都610074(王宇)，西华大学数学与计算机学院 成都610039(李旭东) |
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| 摘 要： | 本文计算了1993年至2005年我国M2/GDP,发现该数据总体呈上升趋势,这一定程度上反映了我国体制上的深层次问题。另外,本文运用带有动量项和自适应学习率的BP神经网络方法预测出我国2006年的M2/GDP是1.6386左右,并提出了一些相应的政策建议。
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| 关 键 词： | BP神经网络 预测 对策 |
Prediction and Countermeasure of Chinese M2/GDP Based on Neural Network |
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| WANG Yu,LI Xu-dong.Prediction and Countermeasure of Chinese M2/GDP Based on Neural Network[J].Ecological Economy,2007(9):48-51. |
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| Authors: | WANG Yu LI Xu-dong |
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| Institution: | The School of Economic Information Engineering, South Western University Finance and Economics, Chengdu 610074, China; School of Mathematics and Computer Engineering, Xihua University, Chengdu 610039, China |
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| Abstract: | This paper found that the overall upward trend in the data through calculating Chinese M2/GDP(1993-2005).This to some extent reflects the deep-rooted problems in our system. In addition, this paper predicts M2/GDP in 2006 is 1.6386 by using adaptive learning rate and momentum term with BP neural network, then brings forward some corresponding policy recommendations. |
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| Keywords: | M2/GDP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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