2007 IEEE International Conference on Granular Computing (GRC 2007) Application of Swarm Intelligence Algorithm to Improve on Multiple Regression San Jose, California November 02-November 04 ISBN: 0-7695-3032-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.17
Literature [1] put 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.
Citation:
Su-Fen Chen, Hui Sun, "Application of Swarm Intelligence Algorithm to Improve on Multiple Regression," grc, pp.757, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb