Enhanced self organizing map with particle swarm optimization for classification problems

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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书目详细资料
主要作者:	Hasan, Shafaatunnur
格式:	Thesis
语言:	English
出版:	2010
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/16396/7/ShafaatunnurHasanMFSKSM2010.pdf
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