Recursive Particle Swarm Optimization Application for the Radial Basis Function Networks Modeling System
2015 ◽
Vol 713-715
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pp. 1817-1820
Keyword(s):
A Recursive Particle Swarm Optimization (RPSO) is proposed to solve dynamic optimization problems where the data is obtained not once but one by one. The position of each particle swarm is updated recursively based on the continuous data and the historical knowledge. The experiment results indicate that RPSO-based radial basis function networks needs fewer radial basis functions and gives more accurate results than traditional PSO in solving dynamic problems.
2007 ◽
Vol 15
(1)
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2005 ◽
pp. 119-128
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2010 ◽
Vol 37
(12)
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pp. 7563-7569
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2009 ◽
Vol 3
(1)
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pp. 1-16
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