DocumentCode
3316644
Title
An Automatic Model Selection Algorithm Based Genetic Programming
Author
Feng, Yanghe ; Dai, Chaofan ; Shi, Jianmai ; Mu, Liang
Author_Institution
C4ISR Technol. Key Lab. of Sci. & Technol. for Nat. Defense, Nat. Univ. of Defense Technol., Changsha, China
fYear
2010
fDate
23-25 July 2010
Firstpage
1
Lastpage
4
Abstract
The usability of model-aided decision relies on intellectualized level of model selection. An algorithm of Model selection based sample data is proposed in the paper. The meta-models are classified by characters of the sample data, and the assembled models are built as tree format. The genetic operations are performed under several restrictions to provide the model selection scheme. Its process hardly depends on user´s knowledge on domain.
Keywords
genetic algorithms; metacomputing; automatic model selection algorithm; genetic operations; genetic programming; metamodels; model-aided decision usability; Assembly; Automatic control; Chaos; Classification tree analysis; Genetic algorithms; Genetic programming; Information analysis; Laboratories; Natural languages; Usability;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location
Ternopil
Print_ISBN
978-1-4244-6972-7
Electronic_ISBN
978-1-4244-6974-1
Type
conf
DOI
10.1109/IEEC.2010.5533243
Filename
5533243
Link To Document