Hybrid Learning Enhancement of RBF network based on particle swarm optimization
This study proposes RBF Network hybrid learning with Particle Swarm Optimization for better convergence, error rates and classification results. In conventional RBF Network structure, different layers perform different tasks. Hence, it is useful to split the optimization process of hidden layer and...
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Main Authors: | , |
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Format: | Book Section |
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Springer Berlin Heidelberg
2009
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Online Access: | http://eprints.utm.my/id/eprint/14912/ http://dx.doi.org/10.1007/978-3-642-01513-7_3 |
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