摘要
经济系统的复杂性决定了经济变动及影响因素解释的困难性。应用自组织数据挖掘方法,建立一个解释我国GDP增长的自组织模型,同时与用主成分分析方法建立的GDP增长模型进行比较,分析影响我国经济增长的主要因素,并在此基础上提出相应的对策思路。
The complexity of the economic system leads to the difficulty to explain the economic change and the influence factors. The self-organization data mining is applied to build a self-organization model to explain the GDP increase. The comparison with the model of the GDP increase built by the principal component analysis and the analysis of the critical factors influencing the national economic increase are made. On the basis of the analysis the corresponding countermeasures are presented.
出处
《成都信息工程学院学报》
2004年第1期107-110,共4页
Journal of Chengdu University of Information Technology
基金
国家自然科学基金资助项目(70271073)
关键词
自组织数据挖掘
经济系统
GDP
主成分分析
self-organizing data mining
economic system
GDP
principal component analysis