An Evolutionary Approach for Modeling the Price Prediction

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 GEPs drawbacks. Experiments on the problem show that this model has higher precision and better search ability.

关键词： Gene expression programming time series function finding prediction

作者: Piyuan Lin Shangwei Yan Aidong Sun Meijie Zhu

作者单位: College of Informatics, South China Agricultural University, Guangzhou 510642, China

会议类型: 国际会议

会议名称: 中国数学会生物数学分会第六届学术年会

会议地点: 山东泰安

会议语种:英文

页码: 411-415

在线出版日期: 2008-07-25（万方平台首次上网日期，不代表论文的发表时间）