DocumentCode
2388373
Title
Application of Swarm Intelligence Algorithm to Improve on Multiple Regression
Author
Chen, Su-Fen ; Sun, Hui
Author_Institution
Nanchang Inst. of Technol., Nanchang
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
757
Lastpage
757
Abstract
Literature by Sun and Liu, (1995) puts forward a nonlinear programming model that unifies all kind of multiple linear regression such as principal components regression, ridge regression, robust regression and constrained regression. This paper we get the solution to the model by the use of the niching particle swarm optimization (NichePSO) method, which is a kind of swarm intelligence algorithm. The example shows that the solution got by NichePSO algorithm is more close to the real situation.
Keywords
nonlinear programming; particle swarm optimisation; regression analysis; NichePSO; multiple linear regression; multiple regression; nonlinear programming model; particle swarm optimization niching; swarm intelligence algorithm; Application software; Biological system modeling; Computer applications; Computer science; Least squares approximation; Linear programming; Linear regression; Particle swarm optimization; Robustness; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.17
Filename
4403201
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