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

Internet

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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