An Evolutionary Approach for Modeling the Price Prediction

被引：0

作者：

Lin, Piyuan ^{[1
]}

Yan, Shangwei ^{[1
]}

Sun, Aidong ^{[1
]}

Zhu, Meijie ^{[1
]}

机构：

[1] S China Agr Univ, Coll Informat, Guangzhou 510642, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE 6TH CONFERENCE OF BIOMATHEMATICS, VOLS I AND II: ADVANCES ON BIOMATHEMATICS | 2008年

关键词：

Gene expression programming; time series; function finding; prediction;

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Gene Expression Programming (GEP) is a powerful evolutionary method derived from Genetic Algorithm and Genetic Programming. Modeling GEP has more efficiency in solving the times series prediction problem. We propose new models based on the broiler price prediction problem that overcomes the original GEP's drawbacks. Experiments on the problem show that this model has higher precision and better search ability.

引用

页码：411 / 415

页数：5

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