A hybrid technique for selecting support vector regression parameters based on a practical selection method and grid search procedure
In order to enhance the generalization ability of the practical selection (PLSN) method for choosing the optimal parameters of the support vector regression (SVR) model that was proposed by Cherkassky and Ma (2004), we investigate a new hybrid technique that combines the PLSN method and the grid sea...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Academy of Economic Studies
2016
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Online Access: | http://psasir.upm.edu.my/id/eprint/14224/1/A%20hybrid%20technique%20for%20selecting%20support%20vector%20regression%20parameters%20based%20on%20a%20practical%20selection%20method%20and%20grid%20search%20procedure.pdf http://psasir.upm.edu.my/id/eprint/14224/ http://www.ecocyb.ase.ro/Articles2016_2.htm |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/14224/1/A%20hybrid%20technique%20for%20selecting%20support%20vector%20regression%20parameters%20based%20on%20a%20practical%20selection%20method%20and%20grid%20search%20procedure.pdfhttp://psasir.upm.edu.my/id/eprint/14224/
http://www.ecocyb.ase.ro/Articles2016_2.htm