Markov Convergence of Gene Expression Programming

摘要：

The GEP method, as a new technology, can be used to discovery function expressions from complex data, which is expected to become an important tool in KDD. However research on the theory of GEP was seldom undertaken since it was put forward. The convergence research about GEP is an important theoretical basis to reveal GEPs inherent law and to improve GEPs algorithm. Therefore, this paper formally describes the basic concepts of GEP, studies the general convergence of the discrete GEP by using Markov chain theory, and further proves the Theorem of Markov Convergence of GEP.

作者: Changan Yuan

作者单位: Department of Information & Technology Guangxi Teachers Education University Nanning, Guangxi, 530001, P.R.C

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）