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
Link To Document :
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