The automatic modeling of complex functions based on gene expression programming

被引：0

作者：

Wu, CS ^{[1
]}

Huang, L ^{[1
]}

Kang, LS ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Nat Sci, Wuhan 430070, Peoples R China

来源：

Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年

关键词：

gene expression programming; complex function; automatic modeling;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we apply gene expression programming to the automatic modeling of complex function. In our programs the complex functions are expressed by multi-layer tree. The Genetic Operators such as Mutation, Transposition, Recombination and Termination Conditions are designed respectively. Further more, we give two examples, whose results show that the models set up by gene expression programming are better than the models set up by genetic programming.

引用

页码：2870 / 2873

页数：4

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