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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Bibliographic Details
Main Author: Hasan, Shafaatunnur
Format: Thesis
Published: 2010
Online Access:http://eprints.utm.my/id/eprint/16396/7/ShafaatunnurHasanMFSKSM2010.pdf
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