The Application of Macro-Economic Prediction Based on Gene Expression programming

被引：0

作者：

Yan Jingfeng ^{[1
]}

Zhang Boping ^{[1
]}

Xiong Delan ^{[1
]}

机构：

[1] Xuchang Univ, Coll Comp Sci & Technol, Xuchang 461000, Henan, Peoples R China

来源：

ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION | 2008年

关键词：

Gene Expression programming; macro-economy; prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Gene Expression programming (GEP) is a new evolutionary algorithm, which has been widely applied in the field of knowledge discovery and rule exploration in large data warehouse, and has achieved some desirable results. This paper analyses the basic principles of GEP, and makes some improvement on its conventional way of creating constant. To validate and improve the performance of the algorithm, this paper applies the improved GEP in the solution of the macroeconomic prediction. The results indicate that improved GEP can automatically rind preferable models, based on which exact prediction will be generated.

引用

页码：137 / 139

页数：3