Learning enhancement of radial basis function neural network with harmony search algorithm
Training Radial Basis Function (RBF) neural network with Particle Swarm Optimization (PSO) was considered as a major breakthrough, that overcome the stuck to the local minimum of Back Propagation (BP) and time consuming and computation expensive problems of Genetic Algorithm (GA). However, PSO prove...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/36531/5/MohamedHassanAhmedMFSKSM2013.pdf http://eprints.utm.my/id/eprint/36531/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69961?site_name=Restricted Repository |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
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