Hybrid learning enhancement of RBF network with particle swarm optimization
This study proposes RBF Network hybrid learning with Particle Swarm Optimization (PSO) 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 laye...
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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/14550/ |
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