Enhanced self organizing map with particle swarm optimization for classification problems
Hybridization of Self Organizing Map (SOM) and Particle Swarm Optimization (PSO) is commonly implemented in clustering domain due to its capabilities in handling complex data characteristics. However, some of these hybrid architectures have weaknesses such as slow convergence time; always being trap...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
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2010
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/16396/7/ShafaatunnurHasanMFSKSM2010.pdf |
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