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Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

BACKGROUND: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters". Choosing reasonable parameter values for the PSO is crucial for its conve...

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Detalles Bibliográficos
Autores principales:	Meissner, Michael, Schmuker, Michael, Schneider, Gisbert
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2006
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1464136/ https://www.ncbi.nlm.nih.gov/pubmed/16529661 http://dx.doi.org/10.1186/1471-2105-7-125

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