Improving learning enhancement radial basis function neural network using improved harmony search algoritim
Radial Basis Function (RBF) neural network training with Particle Swarm Optimization (PSO) overcomes the trapping to the local minimum by Back Propagation (BP) algorithm and slow computation of Genetic Algorithm (GA). However, PSO converged too fast which makes it to be trapped in the local optimum....
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| フォーマット: | 学位論文 |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/48479/ |
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