Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/GRC.2007.42 | GrC |
Keywords | Field | DocType |
swarm intelligence algorithm,real situation,principal components regression,niching particle swarm optimization,multiple regression,ridge regression,nonlinear programming model,nichepso algorithm,robust regression,principal component regression,multiple linear regression,nonlinear programming,regression analysis,swarm intelligence | Principal component regression,Computer science,Regression analysis,Nonlinear programming,Swarm intelligence,Robust regression,Artificial intelligence,Linear regression,Particle swarm optimization,Mathematical optimization,Regression,Algorithm,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-3032-X | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sufen Chen | 1 | 17 | 3.66 |
| Hui Sun | 2 | 3 | 1.05 |