摘要
多表达式编程MEP(Multi-Expression Programming)是遗传程序设计GP(Genetic Programming)领域近年来的又一新成果。介绍了MEP的基本原理及其特点,并将其应用到采煤工作面瓦斯涌出量的演化建模预测中。实验结果表明,MEP有更强的数据挖掘能力。
Multi - expression programming （MEP） is a new achievement in the field of genetic programming in recent years. This article introduces the principle ＆ characteristics of MEP and its applications in predicting the amount of gas emitted from coal face. The experimental result indicates that MEP has a stronger data mining ability.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2007年第2期57-61,共5页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
国家自然科学基金资助项目(60573168)
关键词
多表达式编程
遗传程序设计
演化建模
Postgraduate
School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
