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区域经济中长期预测的支持向量回归方法
引用本文:肖健华,林健,刘晋.区域经济中长期预测的支持向量回归方法[J].系统工程理论与实践,2006,26(4):97-103.
作者姓名:肖健华  林健  刘晋
作者单位:1. 五邑大学智能技术与系统研究所,广东,江门,529020;北京航空航天大学经济管理学院,北京,100083
2. 五邑大学管理学院,广东,江门,529020
基金项目:中国科学院资助项目;中国博士后科学基金
摘    要:分析了区域经济发展特性以及中长期经济预测的特点,对当前经济预测方法存在的不足进行了阐述,指出:由于区域经济系统中存在高度的非线性、耦合性和时变性,使得现有的经济预测方法难以胜任.介绍了支持向量回归算法,并在此基础上,提出了基于支持向量回归的方法对区域经济进行中长期预测的思路,并建立了相应的数学模型.以广东省江门市作为应用对象,说明了该模型的有效性.

关 键 词:支持向量回归  统计学习理论  区域经济  中长期预测
文章编号:1000-6788(2006)04-0097-07
修稿时间:2004年10月10

A SVR-based Model for Regional Economy Medium-term and Long-term Forecast
XIAO Jian-hua,LIN Jian,LIU Jin.A SVR-based Model for Regional Economy Medium-term and Long-term Forecast[J].Systems Engineering —Theory & Practice,2006,26(4):97-103.
Authors:XIAO Jian-hua  LIN Jian  LIU Jin
Abstract:Based on the analysis of characteristics of regional economy and forecasting methods for medium-term and long-term economic development,drawbacks of current forecasting methods were explained as that those methods are not suitable for forecasting medium-term and long-term economic development due to its nonlinearity,coupling and dynamicity.A support vector regression algorithm was been introduced,and then an idea of forecasting medium-term and long-term regional economy based on the algorithm was explained and a mathematic model based on the idea was proposed.At last,an experiment was conducted to verify the proposed model on the economic dataset of Jiangmen,Guangdong.
Keywords:support vector regression(SVR)  statistic learning theory(SLT)  regional economy  medium-term  long-term forecast  
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