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....
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/48479/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|