Point-Tree Structure Genetic Programming Method for Discontinuous Function's Regression

作     者：Xiong Sheng-wu, Wang Wei-wuSchool of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, Hubei. China 

作者机构：Wuhan University of Technology School of Computer Science and Technology Wuhan Hubei China (GRID:grid.162110.5) (ISNI:***) 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2003年第8卷第S1期

页      面：323-326页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

基　　金：Supported by the National Natural Science Foundation(60173046)and the Natural Science Foundation of Province(2002AB040) 

主　　题：genetic programming symbolic regression point-tree structure 

摘      要：A new point-tree data structure genetic programming (PTGP) method is proposed. For the discontinuous function regression problem, the proposed method is able to identify both the function structure and discontinuities points simultaneously. It is also easy to be used to solve the continuous function s regression problems. The numerical experiment results demonstrate that the point-tree GP is an efficient alternative way to the complex function identification problems.