Hyper-Parameters Selection of LS-SVM Based on PSO Algorithm with Multi-Particles Sharing Strategy
2014 ◽
Vol 1049-1050
◽
pp. 1654-1657
Keyword(s):
To optimize the parameters of LS-SVM effectively, an improved Particle Swarm Optimization (PSO) algorithm is proposed to select the optimal parameters combination. For the improvement of the precocity in PSO algorithm, an multi-particles sharing strategy is introduced in simple PSO algorithm to enhance the convergence. The simulation indicates that the proposed PSO algorithm has a better selection on LS-SVM parameters.
2011 ◽
Vol 38
(1)
◽
pp. 184-192
◽
2019 ◽
Vol 1399
◽
pp. 022032
2014 ◽
Vol 2014
◽
pp. 1-10
2013 ◽
Vol 394
◽
pp. 505-508
◽
2018 ◽
2018 ◽
2015 ◽
Vol 15
(3)
◽
pp. 140-149
◽
2011 ◽
Vol 50-51
◽
pp. 3-7
◽