| 基于径向基神经网络的我国外汇储备规模预测 |
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| 引用本文： | 滕昕,李树民.基于径向基神经网络的我国外汇储备规模预测[J].太原理工大学学报(社会科学版),2006,24(4):32-34. |
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| 作者姓名： | 滕昕 李树民 |
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| 作者单位： | 1. 西北大学,经济管理学院,陕西,西安,710069;西安电子科技大学,人文学院,陕西,西安,710071
2. 西北大学,经济管理学院,陕西,西安,710069 |
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| 摘 要： | 基于MATLAB6.5平台编程,运用非线性径向基神经网络对我国外汇储备规模进行预测分析,以我国历年外汇储备数据为训练样本,进行网络训练与检验,结果表明,我国外汇储备存在超常规增长,径向基神经网络具有良好的预测性能。
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| 关 键 词： | 外汇储备 径向基 神经网络 预测 |
| 文章编号： | 1009-5837(2006)04-0032-03 |
| 修稿时间： | 2006年8月30日 |
Application on Foreign Exchange Reserves' Forecast by RBF Network in China |
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| TENG Xin,LI Shu-min.Application on Foreign Exchange Reserves'''' Forecast by RBF Network in China[J].Journal of Taiyuan University of Technology(Social Sciences Edition),2006,24(4):32-34. |
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| Authors: | TENG Xin LI Shu-min |
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| Abstract: | Based on MATLAB6.5 programming,RBF neural network of foreign exchange reserves forecast in China was constructed.According to former foreign exchange reserves data which were taken as training data are normalized,the networks respectively using non-normalized training data and normalized were trained and verified,the results shown RBF network whose training data was normalized has better forecast capability.The speed of China's foreign exchange reserves growth was very high. |
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| Keywords: | foreign exchange reserves RBF neural network forecast |
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