Name
Title | ||
|---|---|---|
LSSVM Parameters Optimizing and Non-linear System Prediction Based on Cross Validation |
Abstract | ||
|---|---|---|
With kernel function of radial basis function (RBF), least squares support vector machines (LSSVM) is used for non-linear system prediction in this paper. For limitation of gridding search method of cross validation, the parameters optimizing method is proposed to determine the regularization parameter and the kernel width parameter of LSSVM. And the methodology steps of this method are presented in detail. Compared with gridding search method, the applicability is validated through simulation experiment. In addition to higher generalization performance, the prediction results of non-linear system show that this method can achieve higher prediction precision and cost less modeling time than BPNN. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICNC.2009.26 | ICNC (1) |
Keywords | Field | DocType |
parameters optimizing,lssvm parameter,optimisation,radial basis function networks,cost less modeling time,lssvm,non-linear system prediction,gridding search method,operating system kernels,higher generalization performance,nonlinear systems,bpnn,nonlinear system prediction,parameters optimizing method,least squares approximations,least squares support vector machines,prediction result,cross validation,prediction of non-linear system,lssvm parameters,lssvm parameters optimizing,kernel width parameter,higher prediction precision,non-linear system show,nonlinear system show,support vector machines,regularization parameter,kernel function,radial basis function,predictive models,simulation experiment,noise,estimation,kernel,least squares support vector machine | Least squares,Nonlinear system,Radial basis function,Computer science,Regularization (mathematics),Artificial intelligence,Kernel (linear algebra),Mathematical optimization,Pattern recognition,Support vector machine,Cross-validation,Machine learning,Kernel (statistics) | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3736-8 | 1 |
PageRank | References | Authors |
0.38 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Zhang | 1 | 72 | 21.91 |
| Chunxiang Li | 2 | 1 | 1.39 |
| Biliang Zhong | 3 | 1 | 0.38 |