Title :
Gene expression programming in prediction
Author :
Li, Qu ; Cai, Zhihua ; Jiang, Siwei ; Zhu, Li
Author_Institution :
Dept. of Comput. Sci. & Technol., China Univ. of Geosci., Wuhan, China
Abstract :
In order to solve the prediction problem of multiple variables, gene expression programming was used in comparison with genetic programming and linear regression in terms of accuracy and stability. Gene expression programming was chosen for its high performance and easy genetic manipulation comparing with genetic programming. Results show that the model discovered by gene expression programming is much more accurate and stable than the one discovered by genetic programming and linear regression.
Keywords :
genetic algorithms; prediction theory; regression analysis; gene expression programming; genetic manipulation; genetic programming; linear regression; multiple variables; prediction problem; stability; Computer science; Gene expression; Genetic programming; Geology; Linear programming; Linear regression; Stability;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341971
